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4 May 2016 Enhancing spatial resolution of infrared imagery using overlap of sequence images
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The high-resolution thermal infrared image, by which the information of a scene can be described in details, is extensively used in many fields including computer vision process, medicine, and remote sensing, etc. This paper introduces a super-resolution reconstruction algorithm in combination of phase related motion estimating algorithm and iterative back-projecting algorithm. Continuous frames of the thermal infrared image aerially shot are extracted, the subpixel displacement of each frame of image relative to the reference image is estimated with the phase related motion estimating algorithm, and then the subpixel displacement data acquired is combined with the iterative back-projecting algorithm to actualize the super-resolution reconstruction of thermal infrared image aerially shot. The thermal infrared images were aerially shot above Zhoushan. The experimental result has proven the image spatial resolution can be effectively improved by this algorithm.
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Jiahao Cao, Chunlai Li, Jian Jin, Hongzhen Ji, Xudong Zhang, and Jianyu Wang "Enhancing spatial resolution of infrared imagery using overlap of sequence images", Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 98802B (4 May 2016);

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