Mining Contrastive Relations Between Cross-Modal Features for Zero-Shot Remote Sensing Image Scene Classification-Reference-Cited by-同舟云学术

Mining Contrastive Relations Between Cross-Modal Features for Zero-Shot Remote Sensing Image Scene Classification

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Liu Chun¹^ORCID,Ma Suqiang¹^ORCID,Li Zheng¹,Yang Wei¹^ORCID,Han Zhigang²^ORCID

Affiliation:

1. School of Computer and Information Engineering, Henan Key Laboratory of Big Data Analysis and Processing, Henan Engineering Laboratory of Spatial Information Processing, and Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou, China

2. College of Geography and Environmental Science and Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou, China

Funder

Henan Province Science and Technology Research Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10443709.pdf?arnumber=10443709

Reference12 articles.

1. Bridging the Semantic Gap for Satellite Image Annotation and Automatic Mapping Applications

2. Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA

3. Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images

4. Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification

5. Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification

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1. Review of Zero-Shot Remote Sensing Image Scene Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024