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An Analysis of the Marginal Value of Hyperspectral Features of the Mixed Pixel of Lotus Leaf and Water Body.

Authors :
Tianlin, Sun
Yunsheng, Zhao
Feng, Zhu
Xia, Zhang
Mei, Yue
Source :
Journal of the Indian Society of Remote Sensing; Dec2013, Vol. 41 Issue 4, p757-762, 6p
Publication Year :
2013

Abstract

A linear regression and curve fitting method is used to study the mixed pixel of lotus leaf and water body under the experimental conditions. The marginal value of hyperspectral features of vegetation is discussed. Through an analysis of the regression result and fitted equation, a conclusion is reached as follows: Until the area ratio of the lotus leaf is 5.9 %, the vegetation reflection features cannot be observed even factually there are some lotus leaves in the mixed pixel; when it is 10.7 %, the reflection spectrum curve saturates and the water body reflection features cannot been detected. The result indicates that although the area ratio of the lotus changes the reflection features may not change. This research will help to understand the mixed pixel and the liner spectrum unmixing technique further. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0255660X
Volume :
41
Issue :
4
Database :
Complementary Index
Journal :
Journal of the Indian Society of Remote Sensing
Publication Type :
Academic Journal
Accession number :
91912890
Full Text :
https://doi.org/10.1007/s12524-013-0270-7