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Yang X.,Xinjiang Normal University | Wang X.,Xinjiang Normal University | Wang X.,Xinjiang Uygur Autonomous Region Key laboratory Xinjiang Laboratory of Lake Environment and Resources in Arid Zone | Mao D.,Xinjiang Normal University | Mao D.,Xinjiang Uygur Autonomous Region Key laboratory Xinjiang Laboratory of Lake Environment and Resources in Arid Zone
Jilin Daxue Xuebao (Diqiu Kexue Ban)/Journal of Jilin University (Earth Science Edition) | Year: 2016

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. © 2016, Jilin University Press. All right reserved. Source

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