Gamma Correction-Based Automatic Unsupervised Change Detection in SAR Images Via FLICM Model-Reference-Cited by-同舟云学术

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Gamma Correction-Based Automatic Unsupervised Change Detection in SAR Images Via FLICM Model

Published:2023-04-11 Issue:5 Volume:51 Page:1077-1088
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Li Liangliang^ORCID,Ma Hongbing,Jia Zhenhong

Funder

the Shanghai Aerospace Science and Technology Innovation Fund

the Cross-Media Intelligent Technology Project of Beijing National Research Center for Information Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12524-023-01674-4.pdf

Reference39 articles.

1. Bovolo, F., & Bruzzone, L. (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. https://doi.org/10.1109/TGRS.2005.857987

2. Bovolo, F., Marin, C., & Bruzzone, L. (2013). A hierarchical approach to change detection in very high resolution SAR images for surveillance applications. IEEE Transactions on Geoscience and Remote Sensing, 51(4), 2042–2054. https://doi.org/10.1109/TGRS.2012.2223219

3. 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. https://doi.org/10.1109/LGRS.2009.2025059

4. Celik, T. (2010). A Bayesian approach to unsupervised multiscale change detection in synthetic aperture radar images. Signal Processing, 90(5), 1471–1485. https://doi.org/10.1016/j.sigpro.2009.10.018

5. Chen, P., Zhang, Y., & Jia, Z. (2017). Remote sensing image change detection based on NSCT-HMT model and its application. Sensors, 17(6), 1295. https://doi.org/10.3390/s17061295

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