Gaussian Scale-Space Enhanced Local Contrast Measure for Small Infrared Target Detection | IEEE Journals & Magazine | IEEE Xplore

Gaussian Scale-Space Enhanced Local Contrast Measure for Small Infrared Target Detection


Abstract:

Robust small-target detection plays an important role in the infrared (IR) search and track system, but it is still a challenge to detect small IR target under complex ba...Show More

Abstract:

Robust small-target detection plays an important role in the infrared (IR) search and track system, but it is still a challenge to detect small IR target under complex background. In this letter, an effective method inspired by the scale-space theory and the contrast mechanism of the human vision system is proposed. First, Gaussian scale-space (GSS) of an IR image is constructed by the convolution of a variable-scale Gaussian function. Second, the gray features of the local image can be directly represented by downsampling in a scale image, and enhanced local contrast measure (ELCM) is defined to enhance small target and suppress complex background. Then, the saliency map is obtained by using max-pooling operation, and an adaptive threshold is adapted to segment real targets. Experimental results on a test set with three real IR sequences demonstrate that the proposed method has a good performance in target enhancement and background suppression, and shows strong robustness under complex background. Especially, the proposed method has high computational efficiency, which can improve detection speed.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 17, Issue: 2, February 2020)
Page(s): 327 - 331
Date of Publication: 06 June 2019

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