Aircraft target detection algorithm based on high resolution spaceborne SAR imagery

Hui Zhang; Mengxi Hao; Cong Zhang; Xiaojing Su

doi:10.1117/12.2293001

8 March 2018 Aircraft target detection algorithm based on high resolution spaceborne SAR imagery

Hui Zhang, Mengxi Hao, Cong Zhang, Xiaojing Su

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106110S (2018) https://doi.org/10.1117/12.2293001
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

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.

Citation Download Citation

Hui Zhang, Mengxi Hao, Cong Zhang, and Xiaojing Su "Aircraft target detection algorithm based on high resolution spaceborne SAR imagery", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110S (8 March 2018); https://doi.org/10.1117/12.2293001

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