Content-based Remote Sensing Image Retrieval Based on Ant Colony Optimization and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Content-based Remote Sensing Image Retrieval Based on Ant Colony Optimization and Convolutional Neural Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 14th International Symposium on Computational Intelligence and Design (ISCID)
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Author:

Ye Famao,Meng Xianglong,Chen Shuxiu,Xin Junwei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9678948/9679200/09679297.pdf?arnumber=9679297

Reference19 articles.

1. Mobile robot path planning using ant colony optimization;cong;2009 IEEE/ASME Int Conf Adv Intell Mech,0

2. Remote sensing image classification based on the optimal support vector machine and modified binary coded ant colony optimization algorithm

3. Integration of Ant Colony Optimization and Object-Based Analysis for LiDAR Data Classification

4. Assessing Image Retrieval Quality at the First Glance

5. Geographic Image Retrieval Using Local Invariant Features

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. Query by Example in Remote Sensing Image Archive Using Enhanced Deep Support Vector Data Description;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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