Change Detection Mechanism Over Multi-spectral Images Using Machine-Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0644-0_20
Reference20 articles.
1. Vignesh T, Thyagharajan KK, Ramya K (2019) Change detection using deep learning and machine learning techniques for multispectral satellite images. Int J Innov Technol Explor Eng 9(1S):90–93
2. Kesikoglu MH, Atasever UH, Ozkan C (2013) Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis. Int Arch Photogramm Remote Sens Spatial Inform Sci 40:129–132
3. Ratha D, De S, Celik T, Bhattacharya A (2017) Change detection in polarimetric SAR images using a geodesic distance between scattering mechanisms. IEEE Geosci Remote Sens Lett 14(7):1066–1070
4. Sumaiya MN, Shantha Selva Kumari R (2014) Unsupervised edge enhancement algorithm for SAR images using exploitation of wavelet transform coefficients
5. Marpu PR, Gamba P, Canty MJ (2011) Improving change detection results of IR-MAD by eliminating strong changes. IEEE Geosci Remote Sens Lett 8(4):799–803
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