Dim Moving Multi-Target Enhancement with Strong Robustness for False Enhancement

Author:

Zhang Yuke123,Chen Xin12,Rao Peng12,Jia Liangjie45

Affiliation:

1. Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China

2. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

3. University of Chinese Academy of Sciences, Beijing 100049, China

4. Center for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Sciences, 99 Lincheng West Road, Guiyang 550051, China

5. CAS Center for Excellence in Comparative Planetology, Hefei 230026, China

Abstract

In a space-based infrared system, the enhancement of targets plays a crucial role in improving target detection capabilities. However, the existing methods of target enhancement face challenges when dealing with multi-target scenarios and a low signal-to-noise ratio (SNR). Furthermore, false enhancement poses a serious problem that affects the overall performance. To address these issues, a new enhancement method for a dim moving multi-target with strong robustness for false enhancement is proposed in this paper. Firstly, multi-target localization is applied by spatial–temporal filtering and connected component detection. Then, the motion vectors of each target are obtained using optical flow detection. Finally, the consecutive images are convoluted in 3D based on the convolution kernel guided by the motion vectors of the target. This process allows for the accumulation of the target energy. The experimental results demonstrate that this algorithm can adaptively enhance a multi-target and notably improve the SNR under low SNR conditions. Moreover, it exhibits outstanding performance compared to other algorithms and possesses strong robustness against false enhancement.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference46 articles.

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