Analysis on application of swarm-based techniques in processing remote sensed data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/content/pdf/10.1007/s12145-019-00417-9.pdf
Reference94 articles.
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2. Alizadeh Naeini A, Babadi M, Mirzadeh SMJ, Amini S (2018) Particle swarm optimization for object-based feature selection of VHSR satellite images. IEEE Geosci Remote Sens Lett 15:379–383. https://doi.org/10.1109/LGRS.2017.2789194
3. Alpaydin, E. (2009). Introduction to machine learning. MIT press
4. Ari, Ç., & Aksoy, S., 2010, July. Unsupervised classification of remotely sensed images using gaussian mixture models and particle swarm optimization. In Geoscience and remote sensing symposium (IGARSS), 2010 IEEE international (pp. 1859–1862). IEEE
5. Arora, P., Mishra, A., Panchal, V.K., 2011. Swarm intelligence for feature identification in natural terrain environment. Proc. - 2011 Int. Conf. Comput. Intell. Commun. Syst. CICN 2011 722–726. https://doi.org/10.1109/CICN.2011.157
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