ROI-Guided Attention Learning for Remote Sensing Image Retrieval-Reference-Cited by-同舟云学术

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ROI-Guided Attention Learning for Remote Sensing Image Retrieval

Published:2024 Issue: Volume:17 Page:14752-14761
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Lili¹^ORCID,Xu Guozheng¹^ORCID,Zhou Xinyan¹^ORCID,Yao Jian¹^ORCID

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10584074.pdf?arnumber=10584074

Reference46 articles.

1. Remote Sensing Image Retrieval in the Past Decade: Achievements, Challenges, and Future Directions

2. Deep Image Retrieval: Learning Global Representations for Image Search

3. FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

4. High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder

5. Region-based cascade pooling of convolutional features for HRRS image retrieval

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