Ladar imaging detection of salient map based on PWVD and Rényi entropy

Yuannan Xu; Yuan Zhao; Rong Deng; Yanbing Dong

doi:10.1117/12.2032430

26 October 2013 Ladar imaging detection of salient map based on PWVD and Rényi entropy

Yuannan Xu, Yuan Zhao, Rong Deng, Yanbing Dong

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 891716 (2013) https://doi.org/10.1117/12.2032430
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Spatial-frequency information of a given image can be extracted by associating the grey-level spatial data with one of the well-known spatial/spatial-frequency distributions. The Wigner-Ville distribution (WVD) has a good characteristic that the images can be represented in spatial/spatial-frequency domains. For intensity and range images of ladar, through the pseudo Wigner-Ville distribution (PWVD) using one or two dimension window, the statistical property of Rényi entropy is studied. We also analyzed the change of Rényi entropy’s statistical property in the ladar intensity and range images when the man-made objects appear. From this foundation, a novel method for generating saliency map based on PWVD and Rényi entropy is proposed. After that, target detection is completed when the saliency map is segmented using a simple and convenient threshold method. For the ladar intensity and range images, experimental results show the proposed method can effectively detect the military vehicles from complex earth background with low false alarm.

Citation Download Citation

Yuannan Xu, Yuan Zhao, Rong Deng, and Yanbing Dong "Ladar imaging detection of salient map based on PWVD and Rényi entropy", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 891716 (26 October 2013); https://doi.org/10.1117/12.2032430

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