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International Journal of Remote Sensing Volume 42, 2021 - Issue 24
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Review Article

An analysis on deep learning approaches: addressing the challenges in remote sensing image retrieval

S K SudhaResearch Centre, Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0171-0031
ORCID Icon &
S AjiResearch Centre, Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, India
Pages 9405-9441 | Received 14 Sep 2021, Accepted 18 Oct 2021, Published online: 17 Nov 2021

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Read on this site (1)

Rui Wang, Jeffrey Zheng, Wanyi Zhou, Qi Wang, Yujin Lu & Yangyang Tao. (2023) Adaptive hash code balancing for remote sensing image retrieval. International Journal of Remote Sensing 44:2, pages 690-712.
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Articles from other publishers (2)

Dongyang Hou, Siyuan Wang, Xueqing Tian & Huaqiao Xing. (2023) PCLUDA: A Pseudo-Label Consistency Learning- Based Unsupervised Domain Adaptation Method for Cross-Domain Optical Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-14.
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Weixun Zhou, Haiyan Guan, Ziyu Li, Zhenfeng Shao & Mahmoud R. Delavar. (2023) Remote Sensing Image Retrieval in the Past Decade: Achievements, Challenges, and Future Directions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, pages 1447-1473.
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