Image classification and performance evaluation of IRS 1C LISS-III data

被引：0
|
作者：
Muralikrishna, IV
机构：
来源：
IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV: REMOTE SENSING - A SCIENTIFIC VISION FOR SUSTAINABLE DEVELOPMENT | 1997年
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D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
LISS-III onboard IRS 1C is very much suitable for land cover mapping. LISS-III provides improved spatial resolution compared to Landsat TM. The study aims at improvement of classification accuracy and as such a performance evaluation of IRS 1C LISS-III bands is taken up. A level II classification scheme with 12 classes has been adopted to classify data. The LISS 1, 2 and 3 combinations provided overall classification accuracy of 93 percent because of higher spatial resolution. The inclusion of SWIR band in classification improved classification of vegetation classes but decreased overall accuracy to 76 percent.
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页码：1772 / 1774
页数：3
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