Dimensionality Reduction and Classification in Hyperspectral Images Using Deep Learning-Reference-Cited by-同舟云学术

Dimensionality Reduction and Classification in Hyperspectral Images Using Deep Learning

Published:2021 Issue: Volume: Page:113-140
ISSN:1860-949X
Container-title:Machine Learning Approaches for Urban Computing
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Author:

Swain Satyajit,Banerjee Anasua,Bandyopadhyay Mainak,Satapathy Suresh Chandra

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-0935-0_6

Reference23 articles.

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2. M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza. “Deep learning classifiers for hyperspectral imaging: a review.” ISPRS J. Photogrammetry Remote Sens 158 (2019)

3. M.J. Khan, H.S. Khan, A. Yousaf, K. Khurshid, A. Abbas, Modern trends in hyperspectral image analysis: a review. IEEE Access 6, 14118–14129 (2018)

4. M.S. Kim, S.-I. Tu, K. Chao, “Sensing for agriculture and food quality and safety.” Proceedings of SPIE—The International Society for Optical Engineering (2009)

5. X. Li, K. Liu, X. Zhang, “Advanced spatial data models and analyses.” Geoinformatics 2008 and Joint Conference on GIS and Built Environment (2009)

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