Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region

Authors:
Xiangzhi Bai;Fugen Zhou;Yongchun Xie;Ting Jin
Affiliations:
Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;Beijing Institute of Control Engineering, Beijing 100080, China;Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
Venue:
Signal Processing
Year:
2009

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Abstract

An efficient clutter elimination algorithm will largely enhance the detectability of dim point targets embedded in heavy clutter image. In this paper, a novel point target detectability enhancement algorithm named adaptive morphological clutter elimination which is constructed by importing the properties of the target region is proposed. The consideration of the properties of the target region not only enhances the adaptive ability of the algorithm, but also improves the performances of the algorithm. Experiments indicate that our proposed algorithm on clutter elimination, false alarm reduction and target enhancement are more powerful than some other widely used methods for the purpose of point target detection; thus the detectability of the point target image is greatly enhanced.