A Parzen window-based approach to detection of infrared dim target under sea-sky background

He Deng1,2, Huang Yao2, Yan-Tao Wei2, Ji-Dong Chen3
1Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
2Department of Information Technology, Central China Normal University, Wuhan, China
3Shaoxing Testing Institute of Quality and Technical Supervision, Shaoxing, China

Tóm tắt

People attach great importance to high detection probability and low false alarm probability for infrared dim target detection. Consequently, a novel approach is proposed based on inverted local information entropy map and the improved region growing technique. The idea originates from the intrinsic property of natural image, the visual mechanism of flying insects and the information entropy theory. Besides qualitative analyses, other methods including the norms of local signal-to-background ratio, local signal-to-noise ratio, region non-uniformity, single-frame detection probability and single-frame false alarm probability are adopted to quantitatively evaluate the proposed approach. Both qualitative and quantitative comparisons confirm the validity and efficiency of the proposed approach.

Từ khóa


Tài liệu tham khảo

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