Global–Local Transformer Network for HSI and LiDAR Data Joint Classification
Author:
Affiliation:
1. College of Electrical and Information Engineering, Hunan University, Changsha, China
2. College of Information Science and Engineering, Hunan University, Changsha, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Hunan Provincial Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09926173.pdf?arnumber=9926173
Reference47 articles.
1. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
2. More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
3. Convolutional Transformer Network for Hyperspectral Image Classification
4. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020
5. Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning
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