Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives-Reference-Cited by-同舟云学术

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Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
language:
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Author:

Vuran Onat¹,Akcin Oguzhan²,Ravanbakhsh Mahdyar³,Sankur Bulent¹,Demir Begum³

Affiliation:

1. Bogazici University,Department of Electrical and Electronics Engineering,Istanbul,Turkey

2. Cockrell School of Engineering, The University of Texas at Austin,Austin,TX

3. Remote Sensing Image Analysis Group, Technische Universitaet Berlin,Berlin,Germany

Funder

European Research Council (ERC) through the ERC-2017-STG BigEarth Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884495.pdf?arnumber=9884495

Reference8 articles.

1. A Content-Based Remote Sensing Image Change Information Retrieval Model

2. Query-by-Example Retrieval in Satellite Image Time Series

3. Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

4. Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

5. An Algorithm for Finding Best Matches in Logarithmic Expected Time

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