A Wavelet-Based Band Selection Method for Hyperspectral Image Classification
Author:
Affiliation:
1. Sapienza Rome University,Dept. of Basic and Applied Sciences for Engineering,Rome,Italy,00161
2. Superelectric s.r.l.,Rome,Italy,00131
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430415/10430497/10430670.pdf?arnumber=10430670
Reference21 articles.
1. Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy
2. An Entropy-Based Speed Up For Hyperspectral Data Classification Via CNN
3. An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification
4. Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression
5. Band selection strategies for hyperspectral image classification based on machine learning and artificial intelligent techniques –Survey
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