HybridGT: An Integration of Graph Transformer and LSTM for Effective Hyperspectral Band Selection

Authors

T. Veerakumar (ORCID: https://orcid.org/0000-0001-9084-1847)
Nagaraju Neela (ORCID: https://orcid.org/0000-0002-5067-4519)
Badri Narayan Subudhi (ORCID: https://orcid.org/0000-0002-4378-0065)
Thierry Bouwmans (ORCID: https://orcid.org/0000-0003-4018-8856)
S. Esakkirajan
Manoj Kumar Panda (ORCID: https://orcid.org/0009-0002-5021-2741)

Institutions

National Institute of Technology Goa (IN)
PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN)
Indian Institute of Technology Jammu (IN)
GIET University (IN)
La Rochelle Université (FR)

Publication Details

Journal: International Journal of Remote Sensing
Published: 2024-12-06
DOI: https://doi.org/10.1080/01431161.2024.2431174
Citations: 4
Primary Topic: Remote-Sensing Image Classification
Type: article
Field-Weighted Citation Impact: 1.28

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article

HybridGT: An Integration of Graph Transformer and LSTM for Effective Hyperspectral Band Selection

T. Veerakumar, Nagaraju Neela, Badri Narayan Subudhi, Thierry Bouwmans et al.

Dec 6, 2024

4 citations

International Journal of Remote Sensing

Remote-Sensing Image Classification

1.28

article

HybridGT: An Integration of Graph Transformer and LSTM for Effective Hyperspectral Band Selection

T. Veerakumar, Nagaraju Neela, Badri Narayan Subudhi, Thierry Bouwmans, S. Esakkirajan, Manoj Kumar Panda

December 6, 2024article en

4 citations

Abstract

No abstract available for this paper.

International Journal of Remote SensingVol. 46(3)

National Institute of Technology Goa (IN), PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN), Indian Institute of Technology Jammu (IN), GIET University (IN), La Rochelle Université (FR)

Affordable and clean energy

Openalex Percentile: Top 16%

Remote-Sensing Image Classification

1.28

DOI Source OpenAlex

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