• Laser & Optoelectronics Progress
  • Vol. 57, Issue 22, 221105 (2020)
Min Gao, Xiaoxia Wang*, Fengbao Yang, and Zongjun Zhang
Author Affiliations
  • School of Information and Communication Engineering, North University of China, Taiyuan, Shanxi 030051, China
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    DOI: 10.3788/LOP57.221105 Cite this Article Set citation alerts
    Min Gao, Xiaoxia Wang, Fengbao Yang, Zongjun Zhang. Deblurring Processing Method for Pixel Level Change Detection of SAR Images[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221105 Copy Citation Text show less
    Mexico dataset. (a) Image from April 2000; (b) image from May 2002; (c) reference map
    Fig. 1. Mexico dataset. (a) Image from April 2000; (b) image from May 2002; (c) reference map
    Ottawa dataset. (a) Image from May 1997; (b) image from August 1997; (c) reference map
    Fig. 2. Ottawa dataset. (a) Image from May 1997; (b) image from August 1997; (c) reference map
    Difference maps of different algorithms on Mexico dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Fig. 3. Difference maps of different algorithms on Mexico dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Change detection results of different algorithms on Mexico dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Fig. 4. Change detection results of different algorithms on Mexico dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Difference maps of different algorithms on Ottawa dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Fig. 5. Difference maps of different algorithms on Ottawa dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Change detection results of different algorithms on Ottawa dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    Fig. 6. Change detection results of different algorithms on Ottawa dataset. (a) Mean-ratio method; (b) neighborhood-ratio method; (c) proposed method
    AlgorithmFNFPDCPCC /%Kappa
    Mean-ratio method350534504498197.910.91
    Neighborhood-ratio method457236044406897.540.89
    Proposed method30338774861098.740.95
    Table 1. Quantitative analysis on change detection results of different algorithms on Mexico dataset
    AlgorithmFNFPDCPCC /%Kappa
    Mean-ratio method372453249099.340.82
    Neighborhood-ratio method207948315099.070.78
    Proposed method54459281499.590.90
    Table 2. Quantitative analysis on change detection results of different algorithms on Ottawa dataset
    Min Gao, Xiaoxia Wang, Fengbao Yang, Zongjun Zhang. Deblurring Processing Method for Pixel Level Change Detection of SAR Images[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221105
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