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DU Pei-jun, ZHOU Xing-dong, GUO Da-zhi. SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS[J]. Chinese Geographical Science, 2003, 13(1): 79-83.
Citation: DU Pei-jun, ZHOU Xing-dong, GUO Da-zhi. SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS[J]. Chinese Geographical Science, 2003, 13(1): 79-83.
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SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS

  • 1.

    China University of Mining & Technology, Xvzhou 221008, P. R. China;

  • 2.

    Shanghai Jiaotong University, Shanghai 200030 P. R. China;

  • 3.

    Xuzhou Normal University, Xuzhou 221011, P. R. China

  • Received Date: 2002-09-28
  • Publish Date: 2003-03-20
  • In order to apply Satellite Remote Sensing(RS)to mining areas, some key issues should be solved. Based on an introduction to relative studying background, related key issues are proposed and analyzed oriented to the development of RS information science and demands of mining areas. Band selection and combination optimization of Landsat TM is discussed firstly, and it proved that the combination of Band 3, Band 4 and Band 5 has the largest information amount in all three-band combination schemes by both N-dimensional entropy method and Genetic Algorithm(GA). After that the filtering of Radarsat image is discussed. Different filtering methods are experimented and compared, and adaptive methods are more efficient than others. Finally the classification of satellite RS image is studied, and some new methods including classification by improved BPNN(Back Propagation Neural Network)and classification based on GIS and knowledge are proposed.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS

  • 1. China University of Mining & Technology, Xvzhou 221008, P. R. China;
  • 2. Shanghai Jiaotong University, Shanghai 200030 P. R. China;
  • 3. Xuzhou Normal University, Xuzhou 221011, P. R. China
  • Received Date: 2002-09-28
  • Publish Date: 2003-03-20

Abstract: In order to apply Satellite Remote Sensing(RS)to mining areas, some key issues should be solved. Based on an introduction to relative studying background, related key issues are proposed and analyzed oriented to the development of RS information science and demands of mining areas. Band selection and combination optimization of Landsat TM is discussed firstly, and it proved that the combination of Band 3, Band 4 and Band 5 has the largest information amount in all three-band combination schemes by both N-dimensional entropy method and Genetic Algorithm(GA). After that the filtering of Radarsat image is discussed. Different filtering methods are experimented and compared, and adaptive methods are more efficient than others. Finally the classification of satellite RS image is studied, and some new methods including classification by improved BPNN(Back Propagation Neural Network)and classification based on GIS and knowledge are proposed.

DU Pei-jun, ZHOU Xing-dong, GUO Da-zhi. SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS[J]. Chinese Geographical Science, 2003, 13(1): 79-83.
Citation: DU Pei-jun, ZHOU Xing-dong, GUO Da-zhi. SOME KEY ISSUES ON THE APPLICATION OF SATELLITE REMOTE SENSING TO MINING AREAS[J]. Chinese Geographical Science, 2003, 13(1): 79-83.
shu

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