Linear mixing model based on optimization method for land cover mapping using LANDSAT ETM plus and SPOT-HRV data

被引：0
|
作者：
Aban, JEL [1 ]
Tsolmon, R [1 ]
Tateishi, R [1 ]
机构：
[1] Chiba Univ, CeRES, Chiba 2638522, Japan
来源：
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The study was aimed at determining the relative proportions of ground cover components in a mixed pixel. A new estimator is introduced, which is based on Optimization Method and is used for the derivation of land cover classification maps. Fraction images were derived from the two reflective channels 3 and 4 of LANDSAT ETM+ and channels 2 and 3 of SPOT data. This research indicated that the use of optimization method,might lead to improvements in mapping and analyses of land cover changes. It has been shown that the use of non-standard estimators can lead to significant increase in the accuracy of estimation.
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页码：3483 / 3485
页数：3
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