Multimodal Classification of Remote Sensing Images: A Review and Future Directions-Reference-Cited by-同舟云学术

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Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Published:2015-09 Issue:9 Volume:103 Page:1560-1584
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Gomez-Chova Luis,Tuia Devis,Moser Gabriele,Camps-Valls Gustau

Funder

Generalitat Valenciana

Swiss National Science Foundation

Spanish Ministry of Economy and Competitiveness (MINECO)

Italian Space Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5/7214335/07182258.pdf?arnumber=7182258

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2. Category-sensitive semi-supervised semantic segmentation framework for land-use/land-cover mapping with optical remote sensing images;International Journal of Applied Earth Observation and Geoinformation;2024-11

3. Multimodal Semantic Collaborative Classification for Hyperspectral Images and LiDAR Data;Remote Sensing;2024-08-21

4. Image-text multimodal classification via cross-attention contextual transformer with modality-collaborative learning;Journal of Electronic Imaging;2024-08-13

5. Utilising SkyScript for Open-Vocabulary Categorization, Extraction, and Captioning to Enhance Multi-Modal Tasks in Remote Sensing;Remote Sensing in Earth Systems Sciences;2024-07-25

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