A Framework for Interactive Visual Interpretation of Remote Sensing Data-Reference-Cited by-同舟云学术

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A Framework for Interactive Visual Interpretation of Remote Sensing Data

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Karmakar Chandrabali¹^ORCID,Datcu Mihai¹^ORCID

Affiliation:

1. German Aerospace Center, Remote Sensing Technology Institute, Weßling, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09745881.pdf?arnumber=9745881

Reference9 articles.

1. Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

2. An explainable deep machine vision framework for plant stress phenotyping

3. MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES

4. Latent Dirichlet allocation;blei;J Mach Learn Res,2003

Cited by 2 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. Estimation of Soil Moisture Using Multi-Source Remote Sensing and Machine Learning Algorithms in Farming Land of Northern China;Remote Sensing;2023-08-27

2. Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records;IEEE Access;2023

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