{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T17:51:13Z","timestamp":1789753873892,"version":"4.0.1"},"reference-count":98,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T00:00:00Z","timestamp":1734998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>The term pansharpening denotes the process by which the geometric resolution of a multiband image is increased by means of a co-registered broadband panchromatic observation of the same scene having greater spatial resolution. Over time, the benchmarking of pansharpening methods has revealed itself to be more challenging than the development of new methods. Their recent proliferation in the literature is mostly due to the lack of a standardized assessment. In this paper, we draw guidelines for correct and fair comparative evaluation of pansharpening methods, focusing on the reproducibility of results and resorting to concepts of meta-analysis. As a major outcome of this study, an improved version of the additive wavelet luminance proportional (AWLP) pansharpening algorithm offers all of the favorable characteristics of an ideal benchmark, namely, performance, speed, absence of adjustable running parameters, reproducibility of results with varying datasets and landscapes, and automatic correction of the path radiance term introduced by the atmosphere. The proposed benchmarking protocol employs the haze-corrected AWLP-H and exploits meta-analysis for cross-comparisons among different experiments. After assessment on five different datasets, it was found to provide reliable and consistent results in ranking different fusion methods.<\/jats:p>","DOI":"10.3390\/jimaging11010001","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T09:00:57Z","timestamp":1735030857000},"page":"1","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8984-938X","authenticated-orcid":false,"given":"Luciano","family":"Alparone","sequence":"first","affiliation":[{"name":"Department of Information Engineering, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2332-780X","authenticated-orcid":false,"given":"Andrea","family":"Garzelli","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Alparone, L., Aiazzi, B., Baronti, S., and Garzelli, A. (2015). Remote Sensing Image Fusion, CRC Press.","DOI":"10.1201\/b18189"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Alparone, L., Garzelli, A., and Zoppetti, C. (2023). Fusion of VNIR optical and C-band polarimetric SAR satellite data for accurate detection of temporal changes in vegetated areas. Remote Sens., 15.","DOI":"10.3390\/rs15030638"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1109\/TGRS.2004.837328","article-title":"Information-theoretic heterogeneity measurement for SAR imagery","volume":"43","author":"Aiazzi","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1109\/JSTARS.2014.2304700","article-title":"SAR image classification through information-theoretic textural features, MRF segmentation, and object-oriented learning vector quantization","volume":"7","author":"Ruscino","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Alparone, L., Selva, M., Aiazzi, B., Baronti, S., Butera, F., and Chiarantini, L. (2009, January 26\u201328). Signal-dependent noise modelling and estimation of new-generation imaging spectrometers. Proceedings of the WHISPERS \u201909\u20141st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France.","DOI":"10.1109\/WHISPERS.2009.5289080"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1109\/36.763269","article-title":"Some terms of reference in data fusion","volume":"37","author":"Wald","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/MGRS.2020.3019315","article-title":"A new benchmark based on recent advances in multispectral pansharpening: Revisiting pansharpening with classical and emerging pansharpening methods","volume":"9","author":"Vivone","year":"2021","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1109\/TGRS.2007.912448","article-title":"Synthesis of multispectral images to high spatial resolution: A critical review of fusion methods based on remote sensing physics","volume":"46","author":"Thomas","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2565","DOI":"10.1109\/TGRS.2014.2361734","article-title":"A critical comparison among pansharpening algorithms","volume":"53","author":"Vivone","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","first-page":"237","article-title":"Assessment of pyramid-based multisensor image data fusion","volume":"Volume 3500","author":"Serpico","year":"1998","journal-title":"Image and Signal Processing for Remote Sensing IV"},{"key":"ref_11","unstructured":"Laben, C.A., and Brower, B.V. (2000). Process for Enhancing the Spatial Resolution of Multispectral Imagery Using Pan-Sharpening. (# 6,011,875), U.S. Patent."},{"key":"ref_12","unstructured":"Padwick, C., Deskevich, M., Pacifici, F., and Smallwood, S. (2010, January 26\u201330). WorldView-2 pan-sharpening. Proceedings of the American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies, San Diego, CA, USA."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Arienzo, A., Alparone, L., Garzelli, A., and Lolli, S. (2022). Advantages of nonlinear intensity components for contrast-based multispectral pansharpening. Remote Sens., 14.","DOI":"10.3390\/rs14143301"},{"key":"ref_14","first-page":"691","article-title":"Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images","volume":"63","author":"Wald","year":"1997","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.isprsjprs.2013.09.007","article-title":"Bi-cubic interpolation for shift-free pan-sharpening","volume":"86","author":"Aiazzi","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Xie, G., Wang, M., Zhang, Z., Xiang, S., and He, L. (2021). Near real-time automatic sub-pixel registration of panchromatic and multispectral images for pan-sharpening. Remote Sens., 13.","DOI":"10.3390\/rs13183674"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Arienzo, A., Alparone, L., and Garzelli, A. (2024, January 7\u201312). Improved regression-based component-substitution pansharpening of Worldview-2\/3 data through automatic realignment of spectrometers. Proceedings of the IGARSS 2024\u20142024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece.","DOI":"10.1109\/IGARSS53475.2024.10641985"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Garzelli, A., and Nencini, F. (August, January 31). Fusion of panchromatic and multispectral images by genetic algorithms. Proceedings of the 2006 IEEE International Symposium on Geoscience and Remote Sensing, Denver, CO, USA.","DOI":"10.1109\/IGARSS.2006.976"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3568","DOI":"10.1016\/j.patcog.2007.05.002","article-title":"Panchromatic sharpening of remote sensing images using a multiscale Kalman filter","volume":"40","author":"Garzelli","year":"2007","journal-title":"Pattern Recognit."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1117\/12.373263","article-title":"Wavelet and pyramid techniques for multisensor data fusion: A performance comparison varying with scale ratios","volume":"Volume 3871","author":"Serpico","year":"1999","journal-title":"Image and Signal Processing for Remote Sensing V"},{"key":"ref_21","first-page":"12","article-title":"Advantages of Laplacian pyramids over \u201c\u00e0 trous\u201d wavelet transforms for pansharpening of multispectral images","volume":"Volume 8537","author":"Bruzzone","year":"2012","journal-title":"Image and Signal Processing for Remote Sensing XVIII"},{"key":"ref_22","unstructured":"Garzelli, A., Nencini, F., Alparone, L., and Baronti, S. (2005, January 29). Multiresolution fusion of multispectral and panchromatic images through the curvelet transform. Proceedings of the 2005 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seoul, Republic of Korea."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2094","DOI":"10.1117\/1.600765","article-title":"Artifacts in wavelet image merging","volume":"35","author":"Yocky","year":"1996","journal-title":"Opt. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2563","DOI":"10.1109\/TGRS.2015.2503045","article-title":"Spatial methods for multispectral pansharpening: Multiresolution analysis demystified","volume":"54","author":"Alparone","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1109\/JSTSP.2011.2104938","article-title":"A theoretical analysis of the effects of aliasing and misregistration on pansharpened imagery","volume":"5","author":"Baronti","year":"2011","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1109\/LGRS.2018.2850151","article-title":"Blind correction of local misalignments between multispectral and panchromatic images","volume":"15","author":"Aiazzi","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1109\/TGRS.2016.2606324","article-title":"Sensitivity of pansharpening methods to temporal and instrumental changes between multispectral and panchromatic data sets","volume":"55","author":"Aiazzi","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1109\/TGRS.2020.3000267","article-title":"Hyperspectral sharpening approaches using satellite multiplatform data","volume":"59","author":"Restaino","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"10956","DOI":"10.1109\/JSTARS.2024.3406762","article-title":"Spatial resolution enhancement of satellite hyperspectral data via nested hypersharpening with Sentinel-2 multispectral data","volume":"17","author":"Alparone","year":"2024","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Santarelli, C., Carfagni, M., Alparone, L., Arienzo, A., and Argenti, F. (2022). Multimodal fusion of tomographic sequences of medical images: MRE spatially enhanced by MRI. Comput. Meth. Progr. Biomed., 223.","DOI":"10.1016\/j.cmpb.2022.106964"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4682","DOI":"10.1109\/TGRS.2017.2697943","article-title":"Intersensor statistical matching for pansharpening: Theoretical issues and practical solutions","volume":"55","author":"Alparone","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"5039","DOI":"10.1109\/JSTARS.2017.2730221","article-title":"Improvement of a pansharpening method taking into account haze","volume":"10","author":"Li","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.1109\/LGRS.2017.2761021","article-title":"Haze correction for contrast-based multispectral pansharpening","volume":"14","author":"Lolli","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"6241","DOI":"10.1109\/TGRS.2013.2295819","article-title":"The importance of physical quantities for the analysis of multitemporal and multiangular optical very high spatial resolution images","volume":"52","author":"Pacifici","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"59821G","DOI":"10.1117\/12.666545","article-title":"Spatial resolution enhancement of ASTER thermal bands","volume":"Volume 5982","author":"Bruzzone","year":"2005","journal-title":"Image and Signal Processing for Remote Sensing XI"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1109\/LGRS.2008.2012003","article-title":"A comparison between global and context-adaptive pansharpening of multispectral images","volume":"6","author":"Aiazzi","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1109\/TGRS.2016.2614367","article-title":"Context-adaptive pansharpening based on image segmentation","volume":"55","author":"Restaino","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2376","DOI":"10.1109\/TGRS.2005.856106","article-title":"Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods","volume":"43","author":"Otazu","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3012","DOI":"10.1109\/TGRS.2007.904923","article-title":"Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data fusion contest","volume":"45","author":"Alparone","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1109\/TGRS.2008.917131","article-title":"Bayesian data fusion for adaptable image pansharpening","volume":"46","author":"Fasbender","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/LGRS.2013.2257669","article-title":"A new pansharpening algorithm based on total variation","volume":"11","author":"Palsson","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1109\/LGRS.2014.2331291","article-title":"A pansharpening method based on the sparse representation of injected details","volume":"12","author":"Vicinanza","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2664","DOI":"10.1109\/TGRS.2015.2504261","article-title":"Exploiting joint sparsity for pan-sharpening: The J-sparseFI algorithm","volume":"54","author":"Zhu","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3545","DOI":"10.1109\/TGRS.2017.2675961","article-title":"A joint sparse and low-rank decomposition for pansharpening of multispectral images","volume":"55","author":"Yin","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"4864","DOI":"10.1109\/TGRS.2012.2230270","article-title":"Super-resolution based on compressive sensing and structural self-similarity for remote sensing images","volume":"51","author":"Pan","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"4779","DOI":"10.1109\/TGRS.2012.2230332","article-title":"Remote sensing image fusion via sparse representations over learned dictionaries","volume":"51","author":"Li","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2827","DOI":"10.1109\/TGRS.2012.2213604","article-title":"A sparse image fusion algorithm with application to pan-sharpening","volume":"51","author":"Zhu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Garzelli, A. (2016). A review of image fusion algorithms based on the super-resolution paradigm. Remote Sens., 8.","DOI":"10.3390\/rs8100797"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.inffus.2018.05.006","article-title":"Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis","volume":"46","author":"Meng","year":"2019","journal-title":"Inform. Fusion"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2596","DOI":"10.1109\/TIP.2014.2316641","article-title":"A regularized model-based optimization framework for pan-sharpening","volume":"23","author":"Aly","year":"2014","journal-title":"IEEE Trans. Image Process."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1109\/JSTARS.2014.2321332","article-title":"Sequential Bayesian methods for resolution enhancement of TIR image sequences","volume":"8","author":"Addesso","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"5443","DOI":"10.1109\/TGRS.2018.2817393","article-title":"Target-adaptive CNN-based pansharpening","volume":"56","author":"Scarpa","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.inffus.2020.04.006","article-title":"Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion","volume":"62","author":"Ma","year":"2020","journal-title":"Inform. Fusion"},{"key":"ref_54","first-page":"115330L","article-title":"GAN generation of synthetic multispectral satellite images","volume":"Volume 11533","author":"Bruzzone","year":"2020","journal-title":"Image and Signal Processing for Remote Sensing XXVI"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Masi, G., Cozzolino, D., Verdoliva, L., and Scarpa, G. (2016). Pansharpening by convolutional neural networks. Remote Sens., 8.","DOI":"10.3390\/rs8070594"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.inffus.2018.09.004","article-title":"FusionGAN: A generative adversarial network for infrared and visible image fusion","volume":"48","author":"Ma","year":"2019","journal-title":"Inform. Fusion"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Garzelli, A., Aiazzi, B., Alparone, L., Lolli, S., and Vivone, G. (2018). Multispectral pansharpening with radiative transfer-based detail-injection modeling for preserving changes in vegetation cover. Remote Sens., 10.","DOI":"10.20944\/preprints201805.0149.v1"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Vivone, G., Alparone, L., Garzelli, A., and Lolli, S. (2019). Fast reproducible pansharpening based on instrument and acquisition modeling: AWLP revisited. Remote Sens., 11.","DOI":"10.3390\/rs11192315"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Aiazzi, B., Baronti, S., Selva, M., and Alparone, L. (August, January 31). Enhanced Gram-Schmidt spectral sharpening based on multivariate regression of MS and Pan data. Proceedings of the 2006 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Denver, CO, USA.","DOI":"10.1109\/IGARSS.2006.975"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/0034-4257(87)90088-5","article-title":"Color enhancement of highly correlated images-II. Channel ratio and \u201cChromaticity\u201d Transform techniques","volume":"22","author":"Gillespie","year":"1987","journal-title":"Remote Sens. Environ."},{"key":"ref_61","unstructured":"Garzelli, A. (2002). Wavelet-based fusion of optical and SAR image data over urban area. Proceedings of the 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002, Graz, Austria, 9\u201313 September 2022, International Society for Photogrammetry and Remote Sensing."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/26.476090","article-title":"A reduced Laplacian pyramid for lossless and progressive image communication","volume":"44","author":"Aiazzi","year":"1996","journal-title":"IEEE Trans. Commun."},{"key":"ref_63","unstructured":"Schowengerdt, R.A. (1997). Remote Sensing: Models and Methods for Image Processing, Academic Press. [2nd ed.]."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"3461","DOI":"10.1080\/014311600750037499","article-title":"Smoothing filter based intensity modulation: A spectral preserve image fusion technique for improving spatial details","volume":"21","author":"Liu","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1109\/TGRS.2008.916211","article-title":"An efficient pan-sharpening method via a combined adaptive-PCA approach and contourlets","volume":"46","author":"Shah","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1007\/s11045-015-0359-y","article-title":"Multi-resolution analysis techniques and nonlinear PCA for hybrid pansharpening applications","volume":"27","author":"Licciardi","year":"2016","journal-title":"Multidim. Syst. Signal Process."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0034-4257(88)90019-3","article-title":"An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data","volume":"24","author":"Chavez","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1109\/97.841152","article-title":"Filterbanks design for multisensor data fusion","volume":"7","author":"Argenti","year":"2000","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_69","unstructured":"Aiazzi, B., Alparone, L., Baronti, S., Pippi, I., and Selva, M. (2002). Generalised Laplacian pyramid-based fusion of MS + P image data with spectral distortion minimisation. Proceedings of the 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002, Graz, Austria, 9\u201313 September 2022, International Society for Photogrammetry and Remote Sensing."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Alparone, L., Arienzo, A., and Garzelli, A. (2024). Spatial resolution enhancement of vegetation indexes via fusion of hyperspectral and multispectral satellite data. Remote Sens., 16.","DOI":"10.3390\/rs16050875"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1109\/TGRS.2015.2476513","article-title":"Quantitative quality evaluation of pansharpened imagery: Consistency versus synthesis","volume":"54","author":"Palsson","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1109\/LGRS.2007.896328","article-title":"On the performance evaluation of pan-sharpening techniques","volume":"4","author":"Du","year":"2007","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Aiazzi, B., Selva, M., Arienzo, A., and Baronti, S. (2019). Influence of the system MTF on the on-board lossless compression of hyperspectral raw data. Remote Sens., 11.","DOI":"10.3390\/rs11070791"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1080\/014311698215973","article-title":"A wavelet transform method to merge Landsat TM and SPOT panchromatic data","volume":"19","author":"Zhou","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"193","DOI":"10.14358\/PERS.74.2.193","article-title":"Multispectral and panchromatic data fusion assessment without reference","volume":"74","author":"Alparone","year":"2008","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"3880","DOI":"10.1109\/TGRS.2009.2029094","article-title":"Pansharpening quality assessment using the modulation transfer functions of instruments","volume":"47","author":"Khan","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/LGRS.2017.2777916","article-title":"On the use of the expanded image in quality ssessment of pansharpened images","volume":"15","author":"Selva","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Alparone, L., Garzelli, A., and Vivone, G. (2018, January 22\u201327). Spatial consistency for full-scale assessment of pansharpening. Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8518869"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/MGRS.2022.3170092","article-title":"Full-resolution quality assessment of pansharpening: Theoretical and hands-on approaches","volume":"10","author":"Arienzo","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"6344","DOI":"10.1109\/TGRS.2015.2436699","article-title":"Full-scale assessment of pansharpening through polynomial fitting of multiscale measurements","volume":"53","author":"Santurri","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"4820","DOI":"10.1109\/TGRS.2018.2839564","article-title":"A Bayesian procedure for full resolution quality assessment of pansharpened products","volume":"56","author":"Vivone","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Alparone, L., Arienzo, A., and Garzelli, A. (2024). Automatic fine co-registration of datasets from extremely high resolution satellite multispectral scanners by means of injection of residues of multivariate regression. Remote Sens., 16.","DOI":"10.3390\/rs16193576"},{"key":"ref_83","first-page":"1273302","article-title":"Full-scale assessment of pansharpening: Why literature indexes may give contradictory results and how to avoid such an inconvenience","volume":"Volume 12733","author":"Bruzzone","year":"2023","journal-title":"Image and Signal Processing for Remote Sensing XXIX"},{"key":"ref_84","unstructured":"Wald, L. (2002). Data Fusion: Definitions and Architectures\u2014Fusion of Images of Different Spatial Resolutions, Les Presses de l\u2019\u00c9cole des Mines."},{"key":"ref_85","unstructured":"Yuhas, R.H., Goetz, A.F.H., and Boardman, J.W. (1992). Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm. Summaries of the 3rd Annual JPL Airborne Geoscience Workshop, NASA-JPL."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1109\/LGRS.2004.836784","article-title":"A global quality measurement of pan-sharpened multispectral imagery","volume":"1","author":"Alparone","year":"2004","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1109\/LGRS.2009.2022650","article-title":"Hypercomplex quality assessment of multi-\/hyper-spectral images","volume":"6","author":"Garzelli","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/97.995823","article-title":"A universal image quality index","volume":"9","author":"Wang","year":"2002","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Arienzo, A., Aiazzi, B., Alparone, L., and Garzelli, A. (2021). Reproducibility of pansharpening methods and quality indexes versus data formats. Remote Sens., 13.","DOI":"10.3390\/rs13214399"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1109\/TGRS.2003.818813","article-title":"Coherence estimation from multilook incoherent SAR imagery","volume":"41","author":"Aiazzi","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_91","first-page":"33","article-title":"EZ LidarTM: A new compact autonomous eye-safe scanning aerosol Lidar for extinction measurements and PBL height detection. Validation of the performances against other instruments and intercomparison campaigns","volume":"44","author":"Lolli","year":"2011","journal-title":"Opt. Pura Apl."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Borenstein, M., Hedges, L., Higgins, J., and Rothstein, H. (2009). Introduction to Meta-Analysis, Wiley Online Library.","DOI":"10.1002\/9780470743386"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.inffus.2004.06.006","article-title":"Thematic and statistical evaluations of five panchromatic\/multispectral fusion methods on simulated PLEIADES-HR images","volume":"6","author":"Flouzat","year":"2005","journal-title":"Inform. Fusion"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"6102","DOI":"10.1109\/JSTARS.2021.3086877","article-title":"A benchmarking protocol for pansharpening: Dataset, preprocessing, and quality assessment","volume":"14","author":"Vivone","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1109\/JSTARS.2011.2181827","article-title":"An adjustable pan-sharpening approach for IKONOS\/QuickBird\/GeoEye-1\/WorldView-2","volume":"5","author":"Tu","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"2300","DOI":"10.1109\/TGRS.2002.803623","article-title":"Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis","volume":"40","author":"Aiazzi","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TGRS.2007.907604","article-title":"Optimal MMSE Pan sharpening of very high resolution multispectral images","volume":"46","author":"Garzelli","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"3418","DOI":"10.1109\/TIP.2018.2819501","article-title":"Full scale regression-based injection coefficients for panchromatic sharpening","volume":"27","author":"Vivone","year":"2018","journal-title":"IEEE Trans. Image Process."}],"container-title":["Journal of Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2313-433X\/11\/1\/1\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:59:25Z","timestamp":1760115565000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2313-433X\/11\/1\/1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,24]]},"references-count":98,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["jimaging11010001"],"URL":"https:\/\/doi.org\/10.3390\/jimaging11010001","relation":{},"ISSN":["2313-433X"],"issn-type":[{"value":"2313-433X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,24]]}}}