Dual-Branch Spectral–Spatial Attention Network for Hyperspectral Image Classification
Author:
Affiliation:
1. National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Hefei, China
2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Major Science and Technology Projects in Anhui Province
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10387414.pdf?arnumber=10387414
Reference49 articles.
1. Estimating the heavy metal contents in farmland soil from hyperspectral images based on Stacked AdaBoost ensemble learning
2. National-scale imperviousness mapping and detection of urban land changes
3. Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms
4. A new k-nearest neighbor density-based clustering method and its application to hyperspectral images
5. Anomaly detection with Bayesian Gauss Background Model in hyperspectral images
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