Restoration of Hyperspectral Remote Sensing Image Based on MTF

被引:0
|
作者
Wu Wenbin [1 ]
Zhao Xuejun [2 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing 100088, Peoples R China
[2] China Univ Min & Technol, Beijing, Peoples R China
关键词
Hyperspectral Remote Sensing Image; Modulation Transfer Function(MTF); Image Restoration; Wiener Filter;
D O I
10.1109/ISISE.2012.106
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the effect of atmosphere, optics, detector and satellite motion etc, remote sensing images were often degenerated. Image restoration technology can improve image quality and interpretation capability. This paper summarized how to use edge method to measure the MTF of hyperspectral remote sensing image step by step, including the theory of edge method and the measure. It introduced the way of wiener filter and analyzed the mean, variance, entropy, average gradient, edge energy. Experimental results indicate that the quality of the image restoration based on MTF has obviously improved, and achieved good restoration results.
引用
收藏
页码:445 / 448
页数:4
相关论文
共 50 条
  • [1] Application of MTF in remote sensing image restoration
    Meng, Wei
    Jin, Longxu
    Li, Guoning
    Fu, Yao
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2014, 43 (05): : 1690 - 1696
  • [2] The MTF measurement of remote sensors and image restoration based on wavelet transform
    Wang, Zhen-Guo
    Geng, Ze-Xun
    Zhang, Ya-Xin
    Sui, Xue-Lian
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 1921 - 1924
  • [3] Hyperspectral remote sensing image classification based on SDE
    Huang, Hong
    Yang, Mei
    Zhang, Man-Ju
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2013, 21 (11): : 2922 - 2930
  • [4] Processing of hyperspectral remote sensing image
    Li, DR
    Zhang, LP
    INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING, 1998, 3545 : 8 - 14
  • [5] Hyperspectral Remote Sensing Image Classification Based on Rotation Forest
    Xia, Junshi
    Du, Peijun
    He, Xiyan
    Chanussot, Jocelyn
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (01) : 239 - 243
  • [6] Hyperspectral remote sensing image classification based on SSMFA and kNNS
    Wang, Li-Zhi
    Huang, Hong
    Feng, Hai-Liang
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2012, 40 (04): : 780 - 787
  • [7] Kriging-based technique for remote sensing image restoration
    Jiang, Xiaowei
    Wani, Li
    Du, Qiang
    Hu, Bill
    PROCEEDINGS OF THE IAMG '07: GEOMATHEMATICS AND GIS ANALYSIS OF RESOURCES, ENVIRONMENT AND HAZARDS, 2007, : 429 - +
  • [8] A DBN for Hyperspectral Remote Sensing Image Classification
    Tong Guofeng
    Li Yong
    Cao Lihao
    Jin Chen
    PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 1757 - 1762
  • [9] Hyperspectral Image Analysis techniques on Remote Sensing
    Iyer, R. Priyanka
    Raveendran, Archanaa
    Bhuvana, S. K. Thai
    Kavitha, R.
    2017 IEEE 3RD INTERNATIONAL CONFERENCE ON SENSING, SIGNAL PROCESSING AND SECURITY (ICSSS), 2017, : 392 - 396
  • [10] Signal and Image Processing in Hyperspectral Remote Sensing
    Ma, Wing-Kin
    Bioucas-Dias, Jose M.
    Chanussot, Jocelyn
    Gader, Paul
    IEEE SIGNAL PROCESSING MAGAZINE, 2014, 31 (01) : 22 - 23