A novel spectral-spatial classification technique for multispectral images using extended multi-attribute profiles and sparse autoencoder
Author:
Affiliation:
1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
2. School of Instrument Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing, China
Funder
the National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1523581
Reference13 articles.
1. Andrew, N. 2010. “Sparse autoencoder”. CS294A Lecture notes, Stanford University.
2. Deep Learning-Based Classification of Hyperspectral Data
3. Classification of hyperspectral images with Extended Attribute Profiles and feature extraction techniques
4. Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
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