Query-Adaptive Feature Fusion Base on Convolutional Neural Networks for Remote Sensing Image Retrieval-Reference-Cited by-同舟云学术

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Query-Adaptive Feature Fusion Base on Convolutional Neural Networks for Remote Sensing Image Retrieval

Published:2021-12-03 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Digital Society and Intelligent Systems (DSInS)
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Author:

Ye Famao,Chen Shuxiu,Meng Xianglong,Xin Junwei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9670450/9670553/09670607.pdf?arnumber=9670607

Reference23 articles.

1. Performance analysis of state-of-the-art representation methods for geographical image retrieval and categorization;ozkan;IEEE Geosci Remote Sens Lett,2014

2. Geographic Image Retrieval Using Local Invariant Features

3. An endmember-based distance for content based hyperspectral image retrieval

4. Dictionary based hyperspectral image retrieval;veganzones;Proc Int Conf Pattern Recognit Appl Methods,2012

5. Remote Sensing Image Retrieval by Scene Semantic Matching

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1. An Image Retrieval Method for Lunar Complex Craters Integrating Visual and Depth Features;Electronics;2024-03-28

2. 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;2023

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