Multimodal Fusion Transformer for Remote Sensing Image Classification-Reference-Cited by-同舟云学术

Multimodal Fusion Transformer for Remote Sensing Image Classification

Published:2023 Issue: Volume:61 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Roy Swalpa Kumar¹^ORCID,Deria Ankur²^ORCID,Hong Danfeng³^ORCID,Rasti Behnood⁴^ORCID,Plaza Antonio⁵^ORCID,Chanussot Jocelyn⁶^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, West Bengal, Jalpaiguri, India

2. Department of Informatics, Technical University of Munich, Garching bei München, Germany

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

4. Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany

5. Department of Technology of Computers and Communications, Escuela Politécnic, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain

6. CNRS, Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Université Grenoble Alpes, Grenoble, France

Funder

National Key Research and Development Program of China

Science and Engineering Research Board, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10153685.pdf?arnumber=10153685

Reference68 articles.

1. Urban structure type characterization using hyperspectral remote sensing and height information

2. Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification

3. Land-cover classification using both hyperspectral and LiDAR data

4. Local Information Interaction Transformer for Hyperspectral and LiDAR Data Classification

5. Remote sensing image classification using subspace sensor fusion

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