Hierarchical Attention Transformer for Hyperspectral Image Classification
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8859/10365397/10476599.pdf?arnumber=10476599
Reference19 articles.
1. Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
2. Quantifying leaf-scale variations in water absorption in lettuce from hyperspectral imagery: a laboratory study with implications for measuring leaf water content in the context of precision agriculture
3. Improved nitrogen retrievals with airborne-derived fluorescence and plant traits quantified from VNIR-SWIR hyperspectral imagery in the context of precision agriculture
4. Transformers in Remote Sensing: A Survey
5. Attention-Aware Dynamic Self-Aggregation Network for Satellite Image Time Series Classification
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