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An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Dong, Yunyun;  Liang, Chenbin;  Sun, Zengguo
收藏  |  浏览/下载：181/0  |  提交时间：2022/07/25
Correlation  Task analysis  Training  Convolution  Remote sensing  Image registration  Neural networks  Image registration  phase correlation  probability-guided  random sample consensus (RANSAC)  
Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 7, 页码: 1106-1110
作者:  Wang Y(王钰);  Shi CZ(史存召);  Wang CH(王春恒);  Xiao BH(肖柏华)
浏览  |  Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：351/108  |  提交时间：2017/09/12
Kullback-leibler (Kl) Divergence  Local Binary Patterns (Lbps)  Measure  Significance  
Multilevel SIFT Matching for Large-Size VHR Image Registration 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 卷号: 9, 期号: 2, 页码: 171-175
作者:  Huo, Chunlei;  Pan, Chunhong;  Huo, Leigang;  Zhou, Zhixin
Adobe PDF(659Kb)  |  收藏  |  浏览/下载：281/102  |  提交时间：2015/08/12
Coarse-to-fine Strategy  Geometric Constraint  Large-size Image Registration  Parallel-based Architecture  
Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 卷号: 10, 期号: 4, 页码: 657-661
作者:  Fan, Bin;  Huo, Chunlei;  Pan, Chunhong;  Kong, Qingqun
Adobe PDF(753Kb)  |  收藏  |  浏览/下载：332/141  |  提交时间：2015/08/12
Optical And Sar Image Registration  Remote Sensing  Scale-invariant Feature Transform (Sift)  Spatial Consistent Matching (Scm)  Synthetic Aperture Radar (Sar)  
Change Field: A New Change Measure for VHR Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 卷号: 11, 期号: 10, 页码: 1812-1816
作者:  Huo, Leigang;  Feng, Xiangchu;  Huo, Chunlei;  Zhou, Zhixin;  Pan, Chunhong
Adobe PDF(656Kb)  |  收藏  |  浏览/下载：259/60  |  提交时间：2015/08/12
Change Detection  Change Field  Progressive Transductive Classification  Very High Resolution (Vhr) Images