激光与光电子学进展, 2019, 56 (12): 121003, 网络出版: 2019-06-13
基于密度引力和多尺度多特征融合的遥感影像变化检测 
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Remote Sensing Image Change Detection Based on Density Attraction and Multi-Scale and Multi-Feature Fusion
图 & 表
图 3. 邻域系统及距离示意图。(a)以(i,j)为中心的邻域系统;(b)中心像元(i,j)与其邻域的距离
Fig. 3. Schematic of neighborhood system and distance. (a) Neighborhood system centered at (i, j); (b) distance between center pixel (i, j) and its neighborhood
图 4. 第1组实验的遥感影像数据和参考变化图。(a) 2014年;(b) 2018年;(c)参考变化图
Fig. 4. Remote sensing image data and reference change map in first set of experiments. (a) 2014; (b) 2018; (c) reference change map
图 5. 第2组实验的遥感影像数据和参考变化图。(a) 2016年;(b) 2018年;(c)参考变化图
Fig. 5. Remote sensing image data and reference change map for second set of experiments. (a) 2016; (b) 2018; (c) reference change map
图 6. 第1组实验中不同权重及分类方法的变化检测结果。(a) WS=0,WT=1,MRF;(b) WS=0.4,WT=0.6,MRF;(c) WS=0.6,WT=0.4,MRF;(d) WS=1,WT=0,MRF;(e)自适应权重,MRF;(f)自适应权重,DAMRF
Fig. 6. Results of change detection under different weights and classification methods for first set of experiments. (a) WS=0, WT=1, MRF; (b) WS=0.4, WT=0.6, MRF; (c) WS=0.6, WT=0.4, MRF; (d) WS=1, WT=0, MRF; (e) adaptive weight, MRF; (f) adaptive weight, DAMRF
图 7. 第2组实验中不同权重及分类方法的变化检测结果。(a) WS=0,WT=1,MRF;(b) WS=0.4,WT=0.6,MRF;(c) WS=0.6,WT=0.4,MRF;(d) WS=1,WT=0,MRF;(e)自适应权重,MRF;(f)自适应权重,DAMRF
Fig. 7. Results of change detection under different weights and classification methods for second set of experiments. (a) WS=0, WT=1, MRF; (b) WS=0.4, WT=0.6, MRF; (c) WS=0.6, WT=0.4, MRF; (d) WS=1, WT=0, MRF; (e) adaptive weight, MRF; (f) adaptive weight, DAMRF
图 8. 第1组实验中检测精度的连续曲线图
Fig. 8. Continuous graph of detection accuracy for first set of experiments
表 1图6变化检测结果的定量评价
Table1. Quantitative evaluation of change detection results for Fig. 6
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表 2图7变化检测结果的定量评价
Table2. Quantitative evaluation of change detection results for Fig. 7
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金秋含, 王阳萍, 杨景玉. 基于密度引力和多尺度多特征融合的遥感影像变化检测[J]. 激光与光电子学进展, 2019, 56(12): 121003. Qiuhan Jin, Yangping Wang, Jingyu Yang. Remote Sensing Image Change Detection Based on Density Attraction and Multi-Scale and Multi-Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121003.
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