Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

The Study of SAR Image Change Detection Algorithm Based on the Difference Graph Fusion

Authors
Chunhua Fu, Xiaojing Wang, Lijun Zhang, Liying Qiao
Corresponding Author
Chunhua Fu
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.79How to use a DOI?
Keywords
SAR image, change detection, and differential image fusion.
Abstract
SAR image change detection technology is the two picture in the same area, the different time periods for SAR image detection, quantitative and qualitative analysis of the change area, thereby gaining interest area change a technology of information. SAR image change detection technology is of great importance in social, economic, environmental, agricultural and military fields. Based on difference image and ratio image change detection in the complementary, with average filtering fusion ratio difference and median filtering the graph method, k-means clustering algorithm for classifier are in, get change regional integrity and background noise resistance are good change detection results. The experimental results of SAR image change verify the effectiveness of this algorithm.
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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
DOI
https://doi.org/10.2991/mecae-18.2018.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chunhua Fu
AU  - Xiaojing Wang
AU  - Lijun Zhang
AU  - Liying Qiao
PY  - 2018/03
DA  - 2018/03
TI  - The Study of SAR Image Change Detection Algorithm Based on the Difference Graph Fusion
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/mecae-18.2018.79
DO  - https://doi.org/10.2991/mecae-18.2018.79
ID  - Fu2018/03
ER  -