{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T13:01:50Z","timestamp":1769173310146,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2017,9,21]],"date-time":"2017-09-21T00:00:00Z","timestamp":1505952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Space Core Technology Development Program through the National Research Foundation of Korea","award":["NRF-2014M1A3A3A03034798"],"award-info":[{"award-number":["NRF-2014M1A3A3A03034798"]}]},{"name":"Basic Science Research Program through the National Research Foundation of Korea","award":["NRF-2017R1D1A3B03034602"],"award-info":[{"award-number":["NRF-2017R1D1A3B03034602"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The objective of this work is to develop an algorithm for pansharpening of very high resolution (VHR) satellite imagery that reduces the spectral distortion of the pansharpened images and enhances their spatial clarity with minimal computational costs. In order to minimize the spectral distortion and computational costs, the global injection gain is transformed to the local injection gains using the normalized difference vegetation index (NDVI), on the assumption that the NDVI are positively or negatively correlated with local injection gains obtained from each band of the satellite data. In addition, the local injection gains are then applied in the hybrid pansharpening algorithm to optimize the spatial clarity. In particular, in the proposed algorithm, a synthetic intensity image is determined using block-based linear regression. In experiments using imagery collected by various satellites, such as KOrea Multi-Purpose SATellite-3 (KOMPSAT-3), KOMPSAT-3A and WorldView-3, the pansharpened results obtained using the proposed Hybrid Pansharpening algorithm using NDVI and based on the spectral mode (HP-NDVIspectral) provide a better representation of the values of the Erreur Relative Globale Adimensionnelle de Synth\u00e8se (ERGAS), the spectral angle mapper (SAM) and the Q4\/Q8 than those produced by existing pansharpening algorithms. In terms of spatial quality, the pansharpened images obtained using the proposed pansharpening algorithm based on the spatial mode (HP-NDVIspatial) have higher average gradient (AG) values than those obtained using existing pansharpening methods. In addition, the computational complexity of our method is similar to that of a pansharpening algorithm that is based on a global injection model, although our methodology has characteristics that are similar to those of a local injection gain-based model that has a very high computational cost. Thus, the quantitative and qualitative assessments presented here indicate that the proposed algorithm can be utilized in various applications that employ spectral information or require high spatial clarity.<\/jats:p>","DOI":"10.3390\/rs9100976","type":"journal-article","created":{"date-parts":[[2017,9,21]],"date-time":"2017-09-21T12:17:40Z","timestamp":1505996260000},"page":"976","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A Hybrid Pansharpening Algorithm of VHR Satellite Images that Employs Injection Gains Based on NDVI to Reduce Computational Costs"],"prefix":"10.3390","volume":"9","author":[{"given":"Jaewan","family":"Choi","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju Chungbuk 28644, Korea"}]},{"given":"Guhyeok","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju Chungbuk 28644, Korea"}]},{"given":"Nyunghee","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju Chungbuk 28644, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0599-0205","authenticated-orcid":false,"given":"Honglyun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju Chungbuk 28644, Korea"}]},{"given":"Seokkeun","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju Chungbuk 28644, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2017,9,21]]},"reference":[{"key":"ref_1","first-page":"653","article-title":"Understanding image fusion","volume":"70","author":"Zhang","year":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2212","DOI":"10.1109\/JSTARS.2013.2272773","article-title":"An area-based image fusion scheme for the integration of SAR and optical satellite imagery","volume":"6","author":"Byun","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.inffus.2016.03.003","article-title":"A review of remote sensing image fusion methods","volume":"32","author":"Ghassemian","year":"2016","journal-title":"Inf. Fusion"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.inffus.2006.02.001","article-title":"Remote sensing image fusion using the curvelet transform","volume":"8","author":"Nencini","year":"2007","journal-title":"Inf. Fusion"},{"key":"ref_5","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_6","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/LGRS.2009.2029248","article-title":"Analysis of the effects of pansharpening in change detection on VHR images","volume":"7","author":"Bovolo","year":"2010","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"507","DOI":"10.3390\/ijgi3020507","article-title":"Effects of pansharpening on vegetation indices","volume":"3","author":"Johnson","year":"2014","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_8","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":"Inf. Fusion"},{"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":"295","article-title":"Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic","volume":"57","author":"Chavez","year":"1991","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1080\/01431160512331314056","article-title":"Comparison between Mallat\u2019s and the \u2018\u00e0 trous\u2019 discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images","volume":"26","author":"Otazu","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","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_13","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1109\/LGRS.2010.2067192","article-title":"Improved additive-wavelet image fusion","volume":"8","author":"Kim","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_14","unstructured":"Amro, I., and Mateos, J. (2013, January 26\u201328). General shearlet pansharpening method using Bayesian inference. Proceedings of the Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, Poland."},{"key":"ref_15","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_16","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_17","unstructured":"Aiazzi, B., Alparone, L., Baronti, S., Garzelli, A., and Selva, M. (2003, January 22\u201323). An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas. Proceedings of the 2nd GRSS\/ISPRS Joint Workshop Remote Sensing and Data Fusion URBAN Areas, Berlin, Germany."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yang, Y., Wan, W., Huang, S., Lin, P., and Que, Y. (2017). A novel pan-sharpening framework based on matting model and multiscale transform. Remote Sens., 9.","DOI":"10.3390\/rs9040391"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2882","DOI":"10.1109\/TIP.2016.2556944","article-title":"Fusion of multispectral and panchromatic images based on morphological operators","volume":"25","author":"Restaino","year":"2016","journal-title":"IEEE Trans. Image-Process."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"591","DOI":"10.14358\/PERS.72.5.591","article-title":"MTF-tailored multiscale fusion of high-resolution MS and Pan imagery","volume":"72","author":"Aiazzi","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1109\/TGRS.2010.2051674","article-title":"A new adaptive component-substitution based satellite image fusion by using partial replacement","volume":"49","author":"Choi","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1109\/LGRS.2004.834804","article-title":"A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery","volume":"1","author":"Tu","year":"2004","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"413","DOI":"10.7848\/ksgpc.2016.34.4.413","article-title":"Performance evaluation of pansharpening algorithms for Worldview-3 satellite imagery","volume":"24","author":"Kim","year":"2016","journal-title":"J. Korean Soc. Surv. Geodesy Photogramm. Cartogr."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.cageo.2006.06.008","article-title":"A general framework for component substitution image fusion: An implementation using the fast image fusion method","volume":"33","author":"Dou","year":"2007","journal-title":"Comput. Geosci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"497","DOI":"10.4218\/etrij.11.1610.0042","article-title":"Generalized IHS-based satellite imagery fusion using spectral response functions","volume":"33","author":"Kim","year":"2011","journal-title":"ETRI J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1109\/LGRS.2010.2046715","article-title":"An adaptive IHS pan-sharpening method","volume":"7","author":"Rahmani","year":"2010","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1109\/TGRS.2013.2243157","article-title":"Image fusion with no gamut problem by improved nonlinear IHS transforms for remote sensing","volume":"52","author":"Chien","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","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_29","doi-asserted-by":"crossref","first-page":"3230","DOI":"10.1109\/TGRS.2007.901007","article-title":"Improving component substitution pansharpening through multivariate regression of MS + Pan data","volume":"45","author":"Aiazzi","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"7380","DOI":"10.1109\/TGRS.2014.2311815","article-title":"High-fidelity component substitution pansharpening by the fitting of substitution data","volume":"52","author":"Xu","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","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_32","doi-asserted-by":"crossref","first-page":"2867","DOI":"10.1109\/JSTARS.2017.2697445","article-title":"Combining component substitution and multiresolution analysis: A novel generalized BDSD pansharpening algorithm","volume":"10","author":"Zhong","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1109\/LGRS.2012.2210857","article-title":"Hybrid pansharpening algorithm for high spatial resoluation satellite imagery to improve spatial quality","volume":"10","author":"Choi","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Sun, W., Chen, B., and Messinger, D.W. (2014). Nearest-neighbor diffusion-based pan-sharpening algorithm for spectral images. Opt. Eng., 53.","DOI":"10.1117\/1.OE.53.1.013107"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1109\/LGRS.2017.2682122","article-title":"Pansharpening of clustered MS and Pan images considering mixed pixels","volume":"14","author":"Shahdoosti","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Dhamecha, H.M., Zaveri, T.H., and Potdar, M.B. (2012, January 22\u201327). NDVI controlled based high frequency injection multispectral image fusion method. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6350662"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/LGRS.2014.2324817","article-title":"Pansharpening using regression of classified MS and Pan images to reduce color distortion","volume":"12","author":"Xu","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1109\/LGRS.2013.2265915","article-title":"A robust image fusion method based on local spectral and spatial correlation","volume":"11","author":"Wang","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Mura, M.D., Vivone, G., Restaino, R., and Chanussot, J. (2014, January 27\u201330). Context-adaptive pansharpening based on binary partition tree segmentation. Proceedings of the 2014 IEEE International Conference on Image-Processing (ICIP), Paris, France.","DOI":"10.1109\/ICIP.2014.7025797"},{"key":"ref_40","unstructured":"Kim, G., and Choi, J. (2015, January 5\u20137). Pansharpening optimization of KOMPSAT-3 satellite imagery using NDVI. Proceedings of the KAGIS Fall Conference 2015 & International Symposium on GIS, Busan, Korea."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"508","DOI":"10.3390\/rs6010580","article-title":"High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","volume":"6","author":"Nouri","year":"2014","journal-title":"Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1109\/TIP.2006.887733","article-title":"The undecimated wavelet decomposition and its reconstruction","volume":"16","author":"Starck","year":"2007","journal-title":"IEEE Trans. Image-Process."},{"key":"ref_43","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_44","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":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_45","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_46","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_47","doi-asserted-by":"crossref","first-page":"2006","DOI":"10.1016\/j.patrec.2005.02.010","article-title":"Color transfer based remote sensing image fusion using non-separable wavelet frame transform","volume":"26","author":"Li","year":"2005","journal-title":"Pattern Recognit. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.inffus.2010.09.003","article-title":"Fusion of multispectral and panchromatic images based on support value transform and adaptive principal component analysis","volume":"13","author":"Yang","year":"2012","journal-title":"Inf. Fusion"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/10\/976\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:45:31Z","timestamp":1760208331000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/10\/976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,21]]},"references-count":48,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2017,10]]}},"alternative-id":["rs9100976"],"URL":"https:\/\/doi.org\/10.3390\/rs9100976","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,21]]}}}