An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis-Reference-Cited by-同舟云学术

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An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 13th International Conference on e-Science (e-Science)
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Author:

Block Jessica,Yazdani Mehrdad,Nguyen Mai,Crawl Daniel,Jankowska Marta,Graham John,DeFanti Tom,Altintas Ilkay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8108702/8109104/08109118.pdf?arnumber=8109118

Cited by 8 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. Unsupervised Deep Learning Approach to Analyze Spatio-Temporal Change in Satellite Imagery;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

2. Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction;ISPRS Journal of Photogrammetry and Remote Sensing;2022-05

3. Multiclass emotion prediction using heart rate and virtual reality stimuli;Journal of Big Data;2021-01-07

4. Machine Learning Approach Towards Satellite Image Classification;Advances in Intelligent Systems and Computing;2020-12-17

5. Power Losses Calculation for Medium Voltage DC/DC Current-Fed Solid State Transformer for Battery Grid-Connected;2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe);2020-09

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