Unsupervised Bayesian change detection for remotely sensed images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-020-01738-9.pdf
Reference32 articles.
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3. Bovolo, F., Bruzzone, L.: A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain. IEEE Trans. Geosci. Remote Sens. 45(1), 218–236 (2007)
4. Bovolo, F., Marchesi, S., Bruzzone, L.: A framework for automatic and unsupervised detection of multiple changes in multitemporal images. IEEE Trans. Geosci. Remote Sens. 50(6), 2196–2212 (2012)
5. Bruzzone, L., Bovolo, F.: A novel framework for the design of change-detection systems for very-high-resolution remote sensing images. Proc. IEEE 101(3), 609–630 (2013)
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