Structure Tensor-Based Infrared Small Target Detection Method for a Double Linear Array Detector

被引：2
作者：
Gao, Jinyan [1 ]
Wang, Luyuan [1 ]
Yu, Jiyang [1 ]
Pan, Zhongshi [2 ]
机构：
[1] China Acad Space Technol, Inst Spacecraft Syst Engn, Beijing 100094, Peoples R China
[2] China Acad Space Technol, Inst Remote Sensing Satellite, Beijing 100094, Peoples R China
来源：
REMOTE SENSING | 2022年 / 14卷 / 19期
关键词：
small moving target detection; double linear array detector; cloud edge removal; structure tensor; SHIP DETECTION; DIM; KERNEL;
D O I：
10.3390/rs14194785
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The paper focuses on the mathematical modeling of a new double linear array detector. The special feature of the detector is that image pairs can be generated at short intervals in one scan. After registration and removal of dynamic cloud edges in each image, the image differentiation-based change detection method in the temporal domain is proposed to combine with the structure tensor edge suppression method in the spatial domain. Finally, experiments are conducted, and our results are compared with theoretic analyses. It is found that a high signal-to-clutter ratio (SCR) of camera input is required to obtain an acceptable detection rate and false alarm rate in real scenes. Experimental results also show that the proposed cloud edge removal solution can be used to successfully detect targets with a very low false alarm rate and an acceptable detection rate.
引用
收藏
页数：13
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