Urban Land Use Information Extraction Using the Ultrahigh-Resolution Chinese Airborne SAR Imagery | IEEE Journals & Magazine | IEEE Xplore

Urban Land Use Information Extraction Using the Ultrahigh-Resolution Chinese Airborne SAR Imagery

Publisher: IEEE

Abstract:

The rapid development of synthetic aperture radar (SAR) sensors results in the acquisition of substantial ultrahigh-resolution SAR images. In this paper, we, for the firs...View more

Abstract:

The rapid development of synthetic aperture radar (SAR) sensors results in the acquisition of substantial ultrahigh-resolution SAR images. In this paper, we, for the first time, present three scenes of single-polarization SAR images with decimeter resolution obtained by a millimeter-wave (MMW) Chinese airborne SAR system. An innovative framework based on the complex generalized Gaussian distribution (CGGD) model is proposed to extract land use information from them, and three CGGD parameters, including the shape parameter, the non-Gaussianity parameter, and the noncircularity parameter, are selected to identify different kinds of ground objects. It is shown that these parameters can reveal plentiful land surface information and will be extremely helpful for single-polarization SAR image interpretations. Moreover, a decision tree classifier is built to categorize these images into homogenous natural surfaces, vegetation textures, circular man-made targets, and noncircular man-made targets. Several interesting experiments are implemented, and their results well demonstrate the effectiveness of the new framework.
Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 53, Issue: 10, October 2015)
Page(s): 5583 - 5599
Date of Publication: 14 May 2015

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Publisher: IEEE

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