287
Views
7
CrossRef citations to date
0
Altmetric
Research Article

A saliency-guided neighbourhood ratio model for automatic change detection of SAR images

, & ORCID Icon
Pages 9606-9627 | Received 18 May 2020, Accepted 29 Jul 2020, Published online: 02 Nov 2020

References

  • Ahmadi, S., and S. Homayouni. 2020. “A Novel Active Contours Model for Environmental Change Detection from Multitemporal Synthetic Aperture Radar Images.” Remote Sensing 12 (11): 1746.
  • Ban, Y., and O. A. Yousif. 2012. “Multitemporal Spaceborne SAR Data for Urban Change Detection in China.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (4): 1087–1094. doi:10.1109/JSTARS.2012.2201135.
  • Bazi, Y., L. Bruzzone, and F. Melgani. 2005. “An Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 43 (4): 874–887. doi:10.1109/TGRS.2004.842441.
  • Bazi, Y., L. Bruzzone, and F. Melgani. 2006. “Automatic Identification of the Number and Values of Decision Thresholds in the Log-ratio Image for Change Detection in SAR Images.” IEEE Geoscience and Remote Sensing Letters 3 (3): 349–353. doi:10.1109/LGRS.2006.869973.
  • Bazi, Y., L. Bruzzone, and F. Melgani. 2007. “Image Thresholding Based on the EM Algorithm and the Generalized Gaussian Distribution.” Pattern Recognition 40 (2): 619–634. doi:10.1016/j.patcog.2006.05.006.
  • Bruzzone, L., and D. F. Prieto. 2000. “Automatic Analysis of the Difference Image for Unsupervised Change Detection.” IEEE Transactions on Geoscience and Remote Sensing 38 (3): 1171–1182. doi:10.1109/36.843009.
  • Buono, A., F. Nunziata, M. Migliaccio, X. Yang, and X. Li. 2017. “Classification of the Yellow River Delta Area Using Fully Polarimetric SAR Measurements.” International Journal of Remote Sensing 38 (23): 6714–6734. doi:10.1080/01431161.2017.1363437.
  • Carincotte, C., S. Derrode, and S. Bourennane. 2006. “Unsupervised Change Detection on SAR Images Using Fuzzy Hidden Markov Chains.” IEEE Transactions on Geoscience and Remote Sensing 44 (2): 432–441. doi:10.1109/TGRS.2005.861007.
  • Celik, T. 2009. “Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and K-means Clustering.” IEEE Geoscience and Remote Sensing Letters 6 (4): 772–776. doi:10.1109/LGRS.2009.2025059.
  • Chen, H., L. Jiao, M. Liang, F. Liu, S. Yang, and B. Hou. 2019. “Fast Unsupervised Deep Fusion Network for Change Detection of Multitemporal SAR Images.” Neurocomputing 332: 56–70. doi:10.1016/j.neucom.2018.11.077.
  • Ciregan, D., U. Meier, and J. Schmidhuber 2012. “Multi-column Deep Neural Networks for Image Classification.” 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, 3642–3649.
  • Conradsen, K., A. A. Nielsen, J. Schou, and H. Skriver. 2003. “A Test Statistic in the Complex Wishart Distribution and Its Application to Change Detection in Polarimetric SAR Data.” IEEE Transactions on Geoscience and Remote Sensing 41 (1): 4–19. doi:10.1109/TGRS.2002.808066.
  • 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): 46019. doi:10.1117/1.JRS.10.046019.
  • Geng, J., X. Ma, X. Zhou, and H. Wang. 2019. “Saliency-guided Deep Neural Networks for SAR Image Change Detection.” IEEE Transactions on Geoscience and Remote Sensing 57 (10): 7365–7377. doi:10.1109/TGRS.2019.2913095.
  • Giustarini, L., R. Hostache, P. Matgen, G. J.-P. Schumann, P. D. Bates, and D. C. Mason. 2012. “A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X.” IEEE Transactions on Geoscience and Remote Sensing 51 (4): 2417–2430. doi:10.1109/TGRS.2012.2210901.
  • Gong, M., Y. Cao, and Q. Wu. 2012. “A Neighbourhood -based Ratio Approach for Change Detection in SAR Images.” IEEE Geoscience and Remote Sensing Letters 9 (2): 307–311. doi:10.1109/LGRS.2011.2167211.
  • Gong, M., Y. Li, L. Jiao, M. Jia, and L. Su. 2014. “Change Detection Based on Intensity and Texture Chnges.” ISPRS Journal of Photogrammetry and Remote Sensing 93: 123–135. doi:10.1016/j.isprsjprs.2014.04.010.
  • Gong, M., H. Yang, and P. Zhang. 2017. “Feature Learning and Change Feature Classification Based on Deep Learning for Ternary Change Detection in SAR Images.” ISPRS Journal of Photogrammetry and Remote Sensing 129: 212–225. doi:10.1016/j.isprsjprs.2017.05.001.
  • Graves, A., M. Liwicki, S. Fernández, R. Bertolami, H. Bunke, and J. Schmidhuber. 2008. “A Novel Connectionist System for Unconstrained Handwriting Recognition.” IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5): 855–868. doi:10.1109/TPAMI.2008.137.
  • Hinton, G. E., S. Osindero, and Y.-W. Teh. 2006. “A Fast Learning Algorithm for Deep Belief Nets.” Neural Computation 18 (7): 1527–1554. doi:10.1162/neco.2006.18.7.1527.
  • 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, no. 8: 3297–3317. doi:10.1109/JSTARS.2014.2328344.
  • Izbassarova, A., A. Duisembay, and A. P. James. 2020. “Speech Recognition Application Using Deep Learning Neural Network.” In Deep Learning Classifiers with Memristive Networks, 69–79. Cham: Springer.
  • 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.
  • LeCun, Y., Y. Bengio, and G. Hinton. 2015. “Deep Learning.” Nature 521 (7553): 436–444. doi:10.1038/nature14539.
  • LeCun, Y., K. Kavukcuoglu, and C. Farabet 2010. “Convolutional Networks and Applications in Vision.” Proceedings of 2010 IEEE International Symposium on Circuits and Systems, Paris, France, 253–256.
  • Li, H., M. Gong, Q. Wang, J. Liu, and L. Su. 2016. “A Multiobjective Fuzzy Clustering Method for Change Detection in SAR Images.” Applied Soft Computing 46: 767–777. doi:10.1016/j.asoc.2015.10.044.
  • Li, H.-C., T. Celik, N. Longbotham, and W. J. Emery. 2015. “Gabor Feature Based Unsupervised Change Detection of Multitemporal SAR Images Based on Two-level Clustering.” IEEE Geoscience and Remote Sensing Letters 12 (12): 2458–2462. doi:10.1109/LGRS.2015.2484220.
  • Li, M., M. Li, P. Zhang, Y. Wu, W. Song, and L. An. 2019. “SAR Image Change Detection Using PCANet Guided by Saliency Detection.” IEEE Geoscience and Remote Sensing Letters 16 (3): 402–406. doi:10.1109/LGRS.2018.2876616.
  • Li, N., R. Wang, Y. Deng, J. Chen, Y. Liu, K. Du, P. Lu, Z. Zhang, and F. Zhao. 2014. “Waterline Mapping and Change Detection of Tangjiashan Dammed Lake after Wenchuan Earthquake from Multitemporal High-resolution Airborne SAR Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (8): 3200–3209. doi:10.1109/JSTARS.2014.2345417.
  • Liu, G., L. Jiao, F. Liu, H. Zhong, and S. Wang. 2015. “A New Patch Based Change Detector for Polarimetric SAR Data.” Pattern Recognition 48 (3): 685–695. doi:10.1016/j.patcog.2014.09.027.
  • Liu, G., L. Li, L. Jiao, Y. Dong, and X. Li. 2019. “Stacked Fisher Autoencoder for SAR Change Detection.” Pattern Recognition 96: 106971.
  • Liu, J., M. Gong, K. Qin, and P. Zhang. 2016. “A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.” IEEE Transactions on Neural Networks and Learning Systems 29 (3): 545–559. doi:10.1109/TNNLS.2016.2636227.
  • 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.
  • Moser, G., and S. B. Serpico. 2006. “Generalized Minimum-error Thresholding for Unsupervised Change Detection from SAR Amplitude Imagery.” IEEE Transactions on Geoscience and Remote Sensing 44 (10): 2972–2982. doi:10.1109/TGRS.2006.876288.
  • Otsu, N. 1979. “A Threshold Selection Method from Gray-level Histograms.” IEEE Transactions on Systems, Man, and Cybernetics 9 (1): 62–66. doi:10.1109/TSMC.1979.4310076.
  • Quegan, S., T. Le Toan, J. J. Yu, F. Ribbes, and N. Floury. 2000. “Multitemporal ERS SAR Analysis Applied to Forest Mapping.” IEEE Transactions on Geoscience and Remote Sensing 38 (2): 741–753. doi:10.1109/36.842003.
  • Rignot, E. J. M., and J. J. Van Zyl. 1993. “Change Detection Techniques for ERS-1 SAR Data.” IEEE Transactions on Geoscience and Remote Sensing 31 (4): 896–906. doi:10.1109/36.239913.
  • Scarpiniti, M., S. Scardapane, D. Comminiello, and A. Uncini. 2020. “Music Genre Classification Using Stacked Auto-Encoders.” In Neural Approaches to Dynamics of Signal Exchanges, 11–19. Singapore: Springer.
  • Schmitt, A., and B. Brisco. 2013. “Wetland Monitoring Using the Curvelet-based Change Detection Method on Polarimetric SAR Imagery.” Water 5 (3): 1036–1051. doi:10.3390/w5031036.
  • Shang, R., L. Qi, L. Jiao, R. Stolkin, and Y. Li. 2014. “Change Detection in SAR Images by Artificial Immune Multiobjective Clustering.” Engineering Applications of Artificial Intelligence 31: 53–67. doi:10.1016/j.engappai.2014.02.004.
  • Sumaiya, M. N., and R. S. S. Kumari. 2016. “Logarithmic Mean-based Thresholding for Sar Image Change Detection.” IEEE Geoscience and Remote Sensing Letters 13 (11): 1726–1728. doi:10.1109/LGRS.2016.2606119.
  • Sumaiya, M. N., and R. S. S. Kumari. 2017. “Gabor Filter Based Change Detection in SAR Images by KI Thresholding.” Optik-International Journal for Light and Electron Optics 130: 114–122. doi:10.1016/j.ijleo.2016.11.040.
  • Tian, D., and M. Gong. 2018. “A Novel Edge-weight Based Fuzzy Clustering Method for Change Detection in SAR Images.” Information Sciences 467: 415–430. doi:10.1016/j.ins.2018.08.015.
  • Xie, J., L. Xu, and E. Chen. 2012. “Image Denoising and Inpainting with Deep Neural Networks.” In Advances in Neural Information Processing Systems 25 (NIPS 2012), Vol. 1. South Lake Tahoe, NV, USA: Curran Association, Inc, 341–349.
  • Zheng, Y., L. Jiao, H. Liu, X. Zhang, B. Hou, and S. Wang. 2017. “Unsupervised Saliency-guided SAR Image Change Detection.” Pattern Recognition 61: 309–326. doi:10.1016/j.patcog.2016.07.040.
  • Zheng, Y., X. Zhang, B. Hou, and G. Liu. 2014. “Using Combined Difference Image and K-umeans Clustering for SAR Image Change Detection.” IEEE Geoscience and Remote Sensing Letters 11 (3): 691–695. doi:10.1109/LGRS.2013.2275738.

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:

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:

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.