Hyperspectral Remote Sensing Data Recovery via Adaptive Window Matching Method

International Journal of Online Engineering

Libo Jiang¹  Jinhui Lan²  Yiliang Zeng³  Chuanzhao Han³  Xuefei Shi¹ 

[1] Beijing Institute of Remote Sensing InformationBeijing Institute of Remote Sensing InformationBeijing Institute of Remote Sensing Information;University of Science and Technology BeijingUniversity of Science and Technology BeijingUniversity 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