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Open AccessArticle

A Two-Dimensional Adaptive Target Detection Algorithm in the Compressive Domain

Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China
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Author to whom correspondence should be addressed.
Sensors 2019, 19(3), 567; https://doi.org/10.3390/s19030567
Received: 5 December 2018 / Revised: 16 January 2019 / Accepted: 25 January 2019 / Published: 29 January 2019
(This article belongs to the Special Issue Sensors In Target Detection)
By applying compressive sensing to infrared imaging systems, the sampling and transmitting time can be remarkably reduced. Therefore, in order to meet the real-time requirements of infrared small target detection tasks in the remote sensing field, many approaches based on compressive sensing have been proposed. However, these approaches need to reconstruct the image from the compressive domain before detecting targets, which is inefficient due to the complex recovery algorithms. To overcome this drawback, in this paper, we propose a two-dimensional adaptive threshold algorithm based on compressive sensing for infrared small target detection. Instead of processing the reconstructed image, our algorithm focuses on directly detecting the target in the compressive domain, which reduces both the time and memory requirements for image recovery. First, we directly subtract the spatial background image in the compressive domain of the original image sampled by the two-dimensional measurement model. Then, we use the properties of the Gram matrix to decode the subtracted image for further processing. Finally, we detect the targets by employing the advanced adaptive threshold method to the decoded image. Experiments show that our algorithm can achieve an average 100% detection rate, with a false alarm rate lower than 0.4%, and the computational time is within 0.3 s, on average. View Full-Text
Keywords: compressive domain; compressive sensing; compressive subtraction; two-dimensional measurement model; adaptive threshold method compressive domain; compressive sensing; compressive subtraction; two-dimensional measurement model; adaptive threshold method
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Cao, W.; Huang, S. A Two-Dimensional Adaptive Target Detection Algorithm in the Compressive Domain. Sensors 2019, 19, 567.

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