Change Detection in Remote Sensing SAR Image Using a Ratio-Based Operator
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1724-8_20
Reference10 articles.
1. Gupta N, Ari S, Panigrahi N (2021) Change detection in Landsat images using unsupervised learning and RBF-based clustering. IEEE Trans Emerg Top Comput Intell 5(2):284–297. https://doi.org/10.1109/TETCI.2019.2932087
2. Gupta N, Pillai G, Ari S (2018) Change detection in landsat images based on local neighbourhood information. IET Image Proc 12. https://doi.org/10.1049/iet-ipr.2018.5524
3. Pillai GV, Gupta N, Ari S (2017) Descriptors based unsupervised change detection in satellite images. In: 2017 international conference on communication and signal processing (ICCSP), Chennai, India, pp 1629–1633. https://doi.org/10.1109/ICCSP.2017.8286666
4. Gupta N, Pillai G, Ari S (2017) Unsupervised change detection in optical satellite images using binary descriptor, pp 750–754. https://doi.org/10.1109/WiSPNET.2017.8299861
5. Kanth P, Gupta N, Ari S (2019) Change detection in multispectral satellite images using histogram based thresholding technique, pp 1–5. https://doi.org/10.1109/ICECCT.2019.8869500
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