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CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2021, 卷号: 0, 期号: 0, 页码: 1-5
作者:  Liang Yan;  Bin Fan;  Shiming Xiang;  Chunhong Pan
Adobe PDF(1700Kb)  |  收藏  |  浏览/下载：151/31  |  提交时间：2021/06/15
Cross mean teacher (CMT)  self-training (ST)  semantic segmentation  unsupervised domain adaptation (UDA)  very-high-resolution (VHR) image  
Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 卷号: 1, 期号: 2, 页码: 139-146
作者:  Peng, Ting;  Jermyn, Ian H.;  Prinet, Veronique;  Zerubia, Josiane
收藏  |  浏览/下载：94/0  |  提交时间：2015/11/08
Dense Urban Area  Geographical Information System (Gis)  Multiscale Analysis  Road Network Extraction  Variational Model  Very High Resolution (Vhr) Image  
Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 卷号: 1, 期号: 2, 页码: 139-146
作者:  Peng, Ting;  Jermyn, Ian H.;  Prinet, Veronique;  Zerubia, Josiane
收藏  |  浏览/下载：96/0  |  提交时间：2015/11/08
Dense Urban Area  Geographical Information System (Gis)  Multiscale Analysis  Road Network Extraction  Variational Model  Very High Resolution (Vhr) Image