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Aircraft target detection algorithm based on high resolution spaceborne SAR imagery
Author(s): Hui Zhang; Mengxi Hao; Cong Zhang; Xiaojing Su
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Paper Abstract

In this paper, an image classification algorithm for airport area is proposed, which based on the statistical features of synthetic aperture radar (SAR) images and the spatial information of pixels. The algorithm combines Gamma mixture model and MRF. The algorithm using Gamma mixture model to obtain the initial classification result. Pixel space correlation based on the classification results are optimized by the MRF technique. Additionally, morphology methods are employed to extract airport (ROI) region where the suspected aircraft target samples are clarified to reduce the false alarm and increase the detection performance. Finally, this paper presents the plane target detection, which have been verified by simulation test.

Paper Details

Date Published: 8 March 2018
PDF: 6 pages
Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110S (8 March 2018); doi: 10.1117/12.2293001
Show Author Affiliations
Hui Zhang, Beijing Aerospace Automatic Control Institute (China)
Mengxi Hao, Beijing Aerospace Automatic Control Institute (China)
Cong Zhang, Beijing Aerospace Automatic Control Institute (China)
Xiaojing Su, Beijing Aerospace Automatic Control Institute (China)


Published in SPIE Proceedings Vol. 10611:
MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Nong Sang; Jie Ma; Zhong Chen, Editor(s)

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