International Association of Online Engineering | |
Hyperspectral Remote Sensing Data Recovery via Adaptive Window Matching Method | |
Jinhui Lan1  Yiliang Zeng2  Chuanzhao Han2  | |
[1] Beijing Institute of Remote Sensing Information;University of Science and Technology Beijing | |
关键词: hyperspectral; data recovery; adaptive matching; wavelet analysis; | |
DOI : | |
学科分类:社会科学、人文和艺术(综合) | |
来源: International Association of Online Engineering | |
【 摘 要 】
HJ-1A satellite is often used to monitor environmental disaster and plays an important role in environmental changes. Because of the affection of various factors, certain band of HJ-1A hyperspectral remote sensing data is severe loss or distortion, which brings great difficulties for subsequent quantitative processing. A novel adaptive window matching algorithm, which can adjust intelligently size of matching window according to different local feature information of the image, is proposed for HJ-1A satellite hyperspectral data recovery in this paper. The results show that the adaptive matching algorithm has a more superior performance than other algorithms in image quality index, column mean curve, and image correlation coefficient.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201904036072197ZK.pdf | 3889KB | download |