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A STUDY ON THE DEVELOPMENT OF NEW CLASSIFICATION TECHNOLOGY FOR REDAR REMOTE SENSING IMAGERY |
TAN Qu-lin, SHAO Yun |
Laboratory of Remote Sensing Information Sciences, Institute of Remote Sensing Application, CAS. Beijing 100101, China |
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Abstract With more and more information acquired by radar remote sensing the classification technology for radar imagery is heading towards high precision, high correctness and rapidness due to the application of new algorithms, theories, ancillary information and characteristics. In the paper, the development of new classification technology for radar imagery is overviewed. To improve the precision and stability, the authors consider that new characteristics (polarimetric and interferometric information, multi_temporal and geographic information etc.), new theories (like wavelet, fractal and fuzzy theory etc.), and new designed algorithms (such as improved max_likelihood, context Classifier and neural network classifier etc.) should be applied to the classification process of radar imagery.
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Keywords
Land desertification
Climate change
Remote sensing
Sanjiangyuan region
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Issue Date: 02 August 2011
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