{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T11:11:10Z","timestamp":1769166670707,"version":"3.49.0"},"reference-count":24,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2012,10,16]],"date-time":"2012-10-16T00:00:00Z","timestamp":1350345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Intensity-Hue-Saturation (IHS), Brovey Transform (BT), and Smoothing-Filter-Based-Intensity Modulation (SFIM) algorithms were used to pansharpen GeoEye-1 imagery. The pansharpened images were then segmented in Berkeley Image Seg using a wide range of segmentation parameters, and the spatial and spectral accuracy of image segments was measured. We found that pansharpening algorithms that preserve more of the spatial information of the higher resolution panchromatic image band (i.e., IHS and BT) led to more spatially-accurate segmentations, while pansharpening algorithms that minimize the distortion of spectral information of the lower resolution multispectral image bands (i.e., SFIM) led to more spectrally-accurate image segments. Based on these findings, we developed a new IHS-SFIM combination approach, specifically for object-based image analysis (OBIA), which combined the better spatial information of IHS and the more accurate spectral information of SFIM to produce image segments with very high spatial and spectral accuracy.<\/jats:p>","DOI":"10.3390\/ijgi1030228","type":"journal-article","created":{"date-parts":[[2012,10,16]],"date-time":"2012-10-16T11:36:59Z","timestamp":1350387419000},"page":"228-241","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Satellite Image Pansharpening Using a Hybrid Approach for Object-Based Image Analysis"],"prefix":"10.3390","volume":"1","author":[{"given":"Brian","family":"Johnson","sequence":"first","affiliation":[{"name":"Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayo-icho, Inage, Chiba 263-8522, Japan"}]},{"given":"Ryutaro","family":"Tateishi","sequence":"additional","affiliation":[{"name":"Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayo-icho, Inage, Chiba 263-8522, Japan"}]},{"given":"Nguyen","family":"Hoan","sequence":"additional","affiliation":[{"name":"Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayo-icho, Inage, Chiba 263-8522, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2012,10,16]]},"reference":[{"key":"ref_1","unstructured":"Schowengerdt, R. (2006). Remote Sensing: Models and Methods for Image Processing, Academic Press. [3rd]."},{"key":"ref_2","first-page":"1","article-title":"A survery of classical methods and new trends in pansharpening of multispectral images","volume":"79","author":"Amro","year":"2011","journal-title":"EURASIP J. Adv. Sig. Pr."},{"key":"ref_3","unstructured":"Haydn, R., Dalke, G., and Henkel, J. (1982, January 19\u201325). Application of the IHS color transform to the processing of multisensory data and image enhancement. Proceedings of the International Symposium on Remote Sensing of Environment, First Thematic Conference: \u201cRemote Sensing of Arid and  Semi-Arid Lands\u201d, Buenos Aires, Argentina."},{"key":"ref_4","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 transformation techniques","volume":"22","author":"Gillespie","year":"1987","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/S1566-2535(01)00036-7","article-title":"A new look at IHS-like image fusion methods","volume":"2","author":"Tu","year":"2001","journal-title":"Inform. Fusion"},{"key":"ref_6","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 imagery","volume":"5","author":"Tu","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_7","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_8","doi-asserted-by":"crossref","first-page":"116201","DOI":"10.1117\/1.2124871","article-title":"Adjustable intensity-hue-saturation and brovey transform fusion technique for IKONOS\/QuickBird imagery","volume":"44","author":"Tu","year":"2005","journal-title":"Opt. Eng."},{"key":"ref_9","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_10","unstructured":"Padwick, C., Deskevich, M., Pacifici, F., and Smallwood, S. (2010, January 26\u201330). Worldview-2 Pansharpening. Proceedings of ASPRS Annual Conference, San Diego, CA, USA."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.isprsjprs.2003.10.002","article-title":"Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information","volume":"58","author":"Benz","year":"2004","journal-title":"ISPRS J. Photogramm."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"799","DOI":"10.14358\/PERS.72.7.799","article-title":"Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery","volume":"72","author":"Yu","year":"2006","journal-title":"Photogramm. Eng. Remote Sensing"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/j.rse.2010.12.017","article-title":"Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery","volume":"115","author":"Myint","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Weng, Q. (2011). Advances in Environmental Remote Sensing: Sensor, Algorithms, and Applications, CRC Press. [1st].","DOI":"10.1201\/b10599"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/S0167-8655(97)00083-4","article-title":"Evaluation and comparison of different segmentation algorithms","volume":"18","author":"Zhang","year":"1997","journal-title":"Pattern Recogn. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"289","DOI":"10.14358\/PERS.76.3.289","article-title":"Accuracy assessment measure for object-based image segmentation goodness","volume":"76","author":"Clinton","year":"2010","journal-title":"Photogramm. Eng. Remote Sensing"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Blaschke, T., Lang, S., and Hay, G. (2008). Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Springer. [1st].","DOI":"10.1007\/978-3-540-77058-9"},{"key":"ref_18","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_19","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_20","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/S102670200037","article-title":"Raffaelea quercivora sp. nov. associated with mass mortality of Japanese oak, and the ambrosia beetle (Platypus quercivorus)","volume":"43","author":"Kubono","year":"2002","journal-title":"Mycoscience"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Uto, K., Takabayashi, Y., and Kosugi, Y. (2008, January 6\u201311). Hyperspectral Analysis of Japanese Oak Wilt to Determine Normalized Wilt Index. Proceedings of 2008 IEEE International Geoscience & Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4778986"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"046202","DOI":"10.1117\/1.2195987","article-title":"Quantitative analysis of pansharpened images","volume":"45","author":"Vijayaraj","year":"2006","journal-title":"Opt. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1080\/2150704X.2012.705440","article-title":"High-resolution urban land-cover classification using a competitive multi-scale object-based approach","volume":"4","author":"Johnson","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2587","DOI":"10.1109\/TGRS.2006.875360","article-title":"A multilevel context-based system for classification of very high spatial resolution images","volume":"44","author":"Bruzzone","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/1\/3\/228\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:52:50Z","timestamp":1760219570000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/1\/3\/228"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10,16]]},"references-count":24,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2012,12]]}},"alternative-id":["ijgi1030228"],"URL":"https:\/\/doi.org\/10.3390\/ijgi1030228","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,10,16]]}}}