Adaptive small target detection based on evaluating complex degree of infrared image

Qing-yu Hou; Wei Zhang; Chun-feng Wu; Qiu-ming Li; Li-hong Lu; Yi-ming Cao

doi:10.1117/12.836104

6 August 2009 Adaptive small target detection based on evaluating complex degree of infrared image

Qing-yu Hou, Wei Zhang, Chun-feng Wu, Qiu-ming Li, Li-hong Lu, Yi-ming Cao

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 738317 (2009) https://doi.org/10.1117/12.836104
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

In order to detect small target in non-stationary complex background, this paper summarizes the previous representative results about the image complex degree metrics, and focuses on analyzing the disadvantage of weighted information entropy (WIE) in the application of adaptively detecting small target in frequency domain. We then introduce clustering and classification of feature vectors of pixels to the detection of small targets, and clustering degree of feature vectors of background pixels and the dispersion degree of feature vectors of target pixels outside the background clustering in feature space are described by constructed Statistical Distance Weighted Information Entropy (SDWIE). Then the adaptive small target detection algorithm based on SDWIE is proposed in this paper. The validity of this algorithm was demonstrated by actual experiments.

Citation Download Citation

Qing-yu Hou, Wei Zhang, Chun-feng Wu, Qiu-ming Li, Li-hong Lu, and Yi-ming Cao "Adaptive small target detection based on evaluating complex degree of infrared image", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738317 (6 August 2009); https://doi.org/10.1117/12.836104

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