Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (2): 617-626.doi: 10.13278/j.cnki.jjuese.201602306

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Mapping Land Use and Land Cover Through MISR Multi-Angle Imagery in the Lower Tarim River

Yang Xuefeng1, Wang Xuemei1,2, Mao Donglei1,2   

  1. 1. College of Geography Science and Tourism, Xinjiang Normal University, Urumqi 830054, China;
    2. Xinjiang Uygur Autonomous Region Key laboratory "Xinjiang Laboratory of Lake Environment and Resources in Arid Zone", Urumqi 830054, China
  • Received:2015-06-08 Published:2016-03-26
  • Supported by:

    Supported by the National Natural Science Foundation of China (41261051) and the Open Funds of Key Laboratory of Xinjiang Uygur Autonomous Region (XJDX0909-2010-08)

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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

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