基于多尺度局部对比后处理的 WIPI 模型用于红外小目标探测

IF 2 4区地球科学 Q3 REMOTE SENSING

Canadian Journal of Remote Sensing Pub Date : 2024-03-05 DOI:10.1080/07038992.2024.2305913

Juan Chen, Lin Qiu, Zhencai Zhu, Ning Sun, Hao Huang, Wai-Hung Ip, Kai-Leung Yung

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引用次数: 0

摘要

根据红外补丁图像（IPI）模型理论，红外图像背景秩较低，目标稀疏。低秩模型可用于分离背景和识别目标。

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The WIPI Model Based on Multi-Scale Local Contrast Post-Processing for Infrared Small Target Detection

According to the infrared patch image (IPI) model theory, the infrared image background has a low rank and the target is sparse. The low-rank model can be used to separate the background and identi...

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来源期刊

Canadian Journal of Remote Sensing REMOTE SENSING-

自引率

3.80%

发文量

期刊介绍： Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.