Enhancing spatial resolution infrared imagery using overlap of sequence images

被引：0

作者：

Cao Jiahao ^{[1
]}

Li Chunlai ^{[1
]}

Jin Jian ^{[1
]}

Ji Hongzhen ^{[1
]}

Zhang Xudong ^{[1
]}

Wang Jianyu ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Tech Phys, Shanghai 200083, Peoples R China

来源：

MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS VI | 2016年 / 9880卷

关键词：

spatial resolution; thermal infrared image; image registering; iterative back-projecting algorithm;

D O I：

10.1117/12.2228024

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页数：9

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