Advances in spaceborne hyperspectral remote sensing in China
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computers in Earth Sciences,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1860653
Reference189 articles.
1. Hyperspectral Signal Subspace Identification in the Presence of Rare Signal Components
2. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
3. Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification
4. Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery
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