期刊
INTERNATIONAL JOURNAL OF REMOTE SENSING
卷 27, 期 22, 页码 5103-5108出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431160500246003
关键词
-
Relative radiometric normalization is a prerequisite for multi-temporal remotely sensed data analysis. Dark object subtraction (DOS) and pseudo-invariant feature (PIF) methods are two commonly employed scene-based methods for relative radiometric normalization. Both these methods have known limitations. The authors describe a soil line transformation method for multi-date relative radiometric normalization, which circumvents the limitations of the DOS and PIF methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据