基于壓縮感知和紅外玫瑰線掃描的紅外圖像重構(英文)
[Abstract]:Infrared subimaging guidance technology is a transition from point source detection technology to imaging guidance technology. It is composed of unit detector and optical scanner. The infrared rose line scanning sub-imaging system is one of the sub-imaging guidance systems. The infrared rose line scanning sub-imaging system collects some data from the field of view according to a specific pattern and obtains a sub-image containing the target position information. Inspired by single pixel camera, compression imaging in infrared rose line scanning sub-imaging system is studied. Compressed sensing can reconstruct infrared images with less sampled data. One of the key problems in infrared subimaging guidance systems is the construction of observation matrices. The research of random observation matrix has been widely studied, but it is difficult to realize the random matrix. In this paper, a simple deterministic observation matrix for infrared rose line scanning subimaging system is presented. In addition, a fast and effective recovery algorithm, called optimal subspace tracking algorithm, is proposed. Simulation results show that the constructed observation matrix can compress and reconstruct infrared images, and the reconstruction effect is better than that of random Gao Si observation matrix and random Bernoulli observation matrix.
【作者單位】: 哈爾濱工程大學信息與通信工程學院;
【基金】:Supported by National Natural Science Foundation of China(61571146) Natural Science Foundation of Heilongjiang Province of China(F201407)
【分類號】:TN911.73
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