Deep Semantic Feature Reduction for Efficient Remote Sensing Image Retrieval-Reference-Cited by-同舟云学术

Deep Semantic Feature Reduction for Efficient Remote Sensing Image Retrieval

Published:2023 Issue: Volume:11 Page:112787-112803
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yelchuri Rajesh¹^ORCID,Khadidos Alaa O.²^ORCID,Khadidos Adil O.³^ORCID,Alshareef Abdulrhman M.²^ORCID,Swain Gandharba⁴^ORCID,Dash Jatindra Kumar¹^ORCID

Affiliation:

1. Department of Computer Science Engineering, SRM University-AP, Neerukonda, Mangalagiri, Amaravati, Andhra Pradesh, India

2. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

3. Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

4. Department of Artificial Intelligence and Data Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10285367.pdf?arnumber=10285367

Reference58 articles.

1. Representing shape with a spatial pyramid kernel

2. Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters

3. Color indexing

4. Content-based Image Retrieval Using Haar Wavelet Transform and Color Moment

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Multi-Hash Similarity Fusion for Remote Sensing Image Retrieval;2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS);2024-04-12