Pattern Retrieval in Large Image Databases Using Multiscale Coarse-to-Fine Cascaded Active Learning-Reference-Cited by-同舟云学术

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Pattern Retrieval in Large Image Databases Using Multiscale Coarse-to-Fine Cascaded Active Learning

Published:2014-04 Issue:4 Volume:7 Page:1127-1141
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:

Blanchart Pierre,Ferecatu Marin,Cui Shiyong,Datcu Mihai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/6803891/06736057.pdf?arnumber=6736057

Cited by 24 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. A Review and a Perspective of Deep Active Learning for Remote Sensing Image Analysis: Enhanced adaptation to user conjecture;IEEE Geoscience and Remote Sensing Magazine;2024

2. AL4SLEO: An Active Learning Solution for the Semantic Labelling of Earth Observation Satellite Images—Part 2;Benchmarks and Hybrid Algorithms in Optimization and Applications;2023

3. AL4SLEO: An Active Learning Solution for the Semantic Labelling of Earth Observation Satellite Images—Part 1;Benchmarks and Hybrid Algorithms in Optimization and Applications;2023

4. An active learning method with entropy weighting subspace clustering for remote sensing image retrieval;Applied Soft Computing;2022-08

5. Early and Late Fusion of Multiple Modalities in Sentinel Imagery and Social Media Retrieval;Pattern Recognition. ICPR International Workshops and Challenges;2021

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