中国农业科学2012，Vol.45Issue(21)：4369-4376,8.DOI:10.3864/j.issn.0578-1752.2012.21.005
湿地高分辨率遥感影像的变化检测
Change Detection on Wetlands Using High Spatial Resolution Imagery
摘要
Abstract
[Objective] With respect to the change detection on wetlands, very high spatial resolution images of drained managed wetland ponds were used, which could provide more information for further management. [Method] The proposed method is based on pixel-oriented difference image and object-based post-classification(OB-M). Multivariate alteration detection (MAD) transformation was used to get the extended difference image, and object-based decision tree classification was applied on MAD components to detect the true change information of difference image, which had a very significant shape feature. [Result] The proposed OB-MAD can successfully detect the false change information, such as the inevitable mis-registration, shadow and vegetation phenology differences. Compared with the traditional MAD method with thresholds (Threshold-MAD) and the traditional object-based post-classification method (OB-T), the proposed OB-M method produced the highest accuracy, which took advantage of both pixel- and object-based technology. [ Conclusion ] Results indicated that the object-based post-classification on MAD components can well detect the change information of wetlands.关键词
变化检测/多变量变化检测/湿地/面向对象后分类Key words
change detection/ multivariate alteration detection(MAD)/ wetlands/ object-oriented post-classification引用本文复制引用
祝锦霞,郭庆华,王珂..湿地高分辨率遥感影像的变化检测[J].中国农业科学,2012,45(21):4369-4376,8.基金项目
美国国家自然科学基金项目(EF0410408,CCF0120778)、国家自然科学基金(3080073,305711123)、国家"863"计划项目(2006AAI02204) （EF0410408,CCF0120778）
