Hyperspectral Remote Sensing Data Recovery via Adaptive Window Matching Method

Authors

  • Yiliang Zeng University of Science and Technology Beijing
  • Jinhui Lan
  • Chuanzhao Han Beijing Institute of Remote Sensing Information
  • Libo Jiang
  • Xuefei Shi University of Science and Technology Beijing

DOI:

https://doi.org/10.3991/ijoe.v11i1.4235

Keywords:

hyperspectral, data recovery, adaptive matching, wavelet analysis

Abstract


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.

Downloads

Published

2015-01-25

How to Cite

Zeng, Y., Lan, J., Han, C., Jiang, L., & Shi, X. (2015). Hyperspectral Remote Sensing Data Recovery via Adaptive Window Matching Method. International Journal of Online and Biomedical Engineering (iJOE), 11(1), pp. 39–45. https://doi.org/10.3991/ijoe.v11i1.4235

Issue

Section

Papers