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《Geomatics and Information Science of Wuhan University》 2007-06
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A Building Change Detection Method Considering Projection Influence Based on Spectral Feature and Texture Feature

YUAN Xiuxiao1,2 SONG Yan1(1 School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road,Wuhan 430079,China)  
A change detection method for high-resolution remotely sensed imagery is designed by combined the texture features with spectral features.The method can decrease change detection errors caused by building projection difference between two period imageries.It utilizes transform divergence between change and no-change to establish change detection strategy.Firstly,the differential spectral features are modeled by using Gaussian mixture model(GMM) and initial change area is obtained by using MRF minimum error probability.But for high-resolution imagery,the projection difference will disturb change area's result.For decreasing these errors,the texture features are extracted by multi-channel Gabor filter.When using these texture features,it is necessary to reduce these texture features' correlation and relieve computation burden.A class-within PCA is adopted to select texture features.Using selected texture features,the initial change area is modeled by using GMM and "false change" is got rid of using MRF minimum error probability.The experiment has shows that the mentioned method can remove false change caused by projection difference and improve change detection accuracy.
【Fund】: 国家973计划资助项目(2006CB701302);; 全国优秀博士学位论文作者专项资金资助项目(200142);; 教育部长江学者和创新团队发展计划——创新团队资助项目(IRT0438)
【CateGory Index】: TP751
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