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15 October 2015 Small target detection based on human visual system utilizing distance information
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Abstract
Small target detection is an importance part of infrared technology. Human visual system properties can improve signal to noise rate and detection rate, etc. In this paper, a small target detection algorithm based on human visual system utilizing distance information is proposed. First, surrounding regions is calculated by weighed sum of each pixel in surrounding regions. The weight is related to distance information between each surrounding pixel and center pixel. Then, the contrast value of center pixel blocks and surrounding regions is calculated. Finally, the contrast value is weighted to the center pixel to get a saliency map. Experiment shows that the proposed has good performance on improving the signal to noise rate and detection rate.
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Linna Yang, Wei An, Zaiping Lin, Andong Li, and Jundu Ye "Small target detection based on human visual system utilizing distance information", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 964322 (15 October 2015); https://doi.org/10.1117/12.2194653
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