rsdtlib: Remote sensing with deep-temporal data library-Reference-Cited by-同舟云学术

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rsdtlib: Remote sensing with deep-temporal data library

Published:2023-05 Issue: Volume:22 Page:101369
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Zitzlsberger Georg^ORCID,Podhoranyi Michal,Martinovič Jan

Funder

Ministerstvo Školství, Mládeže a Tělovýchovy

ESA

U.S. Geological Survey

European Space Agency

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference23 articles.

1. Review Article Digital change detection techniques using remotely-sensed data;ASHBIN.D.U. Singh;Int J Remote Sens,1989

2. Sentinel Hub;Sinergise Laboratory for Geographical Information Systems,2023

3. Urban TEP;DLR,2023

4. EarthExplorer;U S Geological Survey,2023

5. CREODIAS;CloudFerro,2023

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. Monitoring of Urban Changes With Multimodal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. A practically feasible transfer learning method for deep-temporal urban change monitoring;International Journal of Remote Sensing;2023-08-29

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