Advanced search
Publication Cover
Remote Sensing Letters Volume 10, 2019 - Issue 12
Submit an article Journal homepage
267
Views
4
CrossRef citations to date
0
Altmetric
Articles

Coarse-to-fine SAR image change detection method

Chang WangPLA Strategic Support Force information Engineering university, Institute of geospatial information, Zhengzhou, China;School of Civil Engineering, University of Science and Technology Liaoning, Anshan, ChinaCorrespondence[email protected]
View further author information
,
Yongsheng ZhangPLA Strategic Support Force information Engineering university, Institute of geospatial information, Zhengzhou, ChinaView further author information
&
Xu WangLiaoning vocational college of ecological engineering, Surveying and Mapping Engineering Institute, Shenyang, ChinaView further author information
Pages 1153-1162 | Received 06 Apr 2019, Accepted 20 Aug 2019, Published online: 16 Sep 2019

References

  • Bovolo, F., and L. Bruzzone. 2005. “A Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 43 (12): 2963–2972. doi:10.1109/TGRS.2005.857987.
  • Celik, T. 2009. “Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and K-means Clustering.” IEEE Geoscience & Remote Sensing Letters 6 (4): 772–776. doi:10.1109/LGRS.2009.2025059.
  • Gao, F., J. Dong, B. Li, Q. Xu, and C. Xie. 2016. “Change Detection from Synthetic Aperture Radar Images Based on Neighbourhood-Based Ratio and Extreme Learning Machine.” Journal of Applied Remote Sensing 10 (4): 1–14. doi:10.1117/1.JRS.10.046019.
  • Gao, F., X. Wang, J. Dong, and S. Wang. 2018. “SAR Image Change Detection Based on Frequency Domain Analysis and Random Multi-graphs.” Journal of Applied Remote Sensing 12 (1): 016010-1- 016010-13. doi:10.1117/1.JRS.12.016010.
  • Gong, M., L. Su, M. Jia, and W. Chen. 2014. “Fuzzy Clustering with A Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images.” IEEE Transactions on Fuzzy Systems 22 (1): 98–109. doi:10.1109/TFUZZ.2013.2249072.
  • Gong, M., J. Zhao, J. Liu, Q. Miao, and L. Jiao. 2016. “Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems 27 (1): 125–138. doi:10.1109/TNNLS.2015.2435783.
  • Gong, M., Z. Zhou, and J. Ma. 2012. “Change Detection in Synthetic Aperture Radar Images Based on Image Fusion and Fuzzy Clustering.” IEEE Transactions on Image Processing 21 (4): 2141–2151. doi:10.1109/TIP.2011.2170702.
  • Hou, B., Q. Wei, Y. Zheng, and S. Wang. 2014. “Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (8): 3297–3317. doi:10.1109/JSTARS.2014.2328344.
  • Inglada, J., and G. Mercier. 2007. “A New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and Its Extension to Multiscale Change Analysis.” IEEE Transactions on Geoscience and Remote Sensing 45 (5): 1432–1445. doi:10.1109/TGRS.2007.893568.
  • Krinidis, S., and V. Chatzis. 2010. “A Robust Fuzzy Local Information C-Means Clustering Algorithm.” IEEE Transactions on Image Processing 19 (5): 1328–1337. doi:10.1109/TIP.2010.2040763.
  • Li, F., X. Li, and Y. Chen. 2015. “Saliency Detection Based on Improved Quaternion Fourier Transform and Its Application in Video Coding.” Application Research of Computers 32 (5): 1540–1545. doi:10.3969/j.issn.1001-3695.2015.05.066.
  • Liao, F., E. Koshelev, M. Milton, Y. Jin, and E. Lu.2017. “Change Detection by Deep Neural Networks for Synthetic Aperture Radar Images.” Conference: 2017 International Conference on Computing, Networking and Communications (ICNC): 1–6. doi: 10.1109/ICCNC.2017.7876261.
  • Ma, J., M. Gong, and Z. Zhou. 2012. “Wavelet Fusion on Ratio Images for Change Detection in SAR Images.” IEEE Geoscience and Remote Sensing Letters 9 (6): 1122–1126. doi:10.1109/LGRS.2012.2191387.
  • Yan, W., S. Shi, L. Pan, G. Zhang, and L. Wang. 2018. “Unsupervised Change Detection in SAR Images Based on Frequency Difference and A Modified Fuzzy C-Means Clustering.” International Journal of Remote Sensing 39 (10): 3055–3075. doi:10.1080/01431161.2018.1434325.
  • Yousif, O., and Y. Ban. 2014. “Improving SAR-based Urban Change Detection by Combing MAPMRF Classifier and Nonlocal Means Similarity Weights.” IEEE Journal of Selected Topics in Applied Earth 7 (10): 4288–4300. doi:10.1109/jstars.2014.2347171.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.