塔里木河下游土地利用覆被MISR多角度遥感制图

doi:10.13278/j.cnki.jjuese.201602306

Abstract

Abstract:

MISR multi-angular data have been built through 9 cameras combination, and the infulence on land use and land cover mapping by multi-angular observing and traditional nadir approach has been explored in the lower Tarim River. In addition, SVM (support vector machine) and conventional MLC (maximum likelihood classification) were respectively implemented to observe the differentiation of Confusion Matrix. The findings are presented as follows:Multi-angular oberservation achieved higher classification accuracy compared to nadir approach no matter MLC or SVM classifiers being used; Although the lower resolution, MISR obtains abundent information, and thus has a great impact on the classification of vegetation;the classification by SVM shows a higher accuracy than that by MLC no matter which data set is used;different cameras lead to different results, but camera C and D paly more important roles than the others.

Key words: MISR, support vector machine, maximum lickelihood classification, lower Tarim River, land use and land cover

CLC Number:

P627

Yang Xuefeng, Wang Xuemei, Mao Donglei. Mapping Land Use and Land Cover Through MISR Multi-Angle Imagery in the Lower Tarim River[J].Journal of Jilin University(Earth Science Edition), 2016, 46(2): 617-626.

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