Hyperspectral image segmentation: a comprehensive survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13959-w.pdf
Reference105 articles.
1. Akbari D (2020a) Improving spatial-spectral classification of hyperspectral imagery by using extended minimum spanning forest algorithm. Can J Remote Sens 46(2):146–153
2. Akbari D (2020b) A novel method for spectral-spatial classification of hyperspectral images with a high spatial resolution. Arab J Geosci 13(23):1–10
3. Angulo J, Velasco-Forero S, Chanussot J (2009) Multiscale stochastic watershed for unsupervised hyperspectral image segmentation. In: 2009 IEEE international geoscience and remote sensing symposium, vol 3, IEEE, pp III–93
4. Appice A, Malerba D (2019) Segmentation-aided classification of hyperspectral data using spatial dependency of spectral bands. ISPRS J Photogramm Remote Sens 147:215–231
5. Azimpour P, Shad R, Ghaemi M, Etemadfard H (2020) Hyperspectral image clustering with albedo recovery fuzzy c-means. Int J Remote Sens 41(16):6117–6134
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