HypsLiDNet: 3-D-2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification with DESIS and LiDAR Data

Farmonov Nizom and Esmaeili M. and Abbasi-Moghadam Dariush and Sharifi Alireza and Amankulova Khilola and Mucsi László: HypsLiDNet: 3-D-2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification with DESIS and LiDAR Data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 17. pp. 11969-11996. ISSN 1939-1404 (2024)

[thumbnail of HypsLiDNet_3-D2-D_CNN_Model_and_SpatialSpectral_Morphological_Attention_for_Crop_Classification_With_DESIS_and_LiDAR_Data.pdf]
Preview
Text
HypsLiDNet_3-D2-D_CNN_Model_and_SpatialSpectral_Morphological_Attention_for_Crop_Classification_With_DESIS_and_LiDAR_Data.pdf - Published Version

Download (18MB) | Preview
Creators:
Farmonov Nizom MTMT
Esmaeili M.
Abbasi-Moghadam Dariush
Sharifi Alireza
Amankulova Khilola MTMT
Mucsi László MTMT
Item Type: Journal Article
Journal or Publication Title: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Date: 2024
Volume: 17
Page Range: pp. 11969-11996
ISSN: 1939-1404
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 35073378
DOI azonosító: https://doi.org/10.1109/JSTARS.2024.3418854
Date Deposited: 2024. Nov. 18. 08:22
Last Modified: 2024. Nov. 18. 08:22
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/35154

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year