Fast-track development of an automated solar photovoltaic module detecting framework utilizing open-access multispectral satellite imagery-Reference-Cited by-同舟云学术

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Fast-track development of an automated solar photovoltaic module detecting framework utilizing open-access multispectral satellite imagery

Published:2024-08 Issue: Volume:35 Page:101250
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Wu Pei-Cheng^ORCID,Hung Meng-Chi^ORCID,Lin Ruey-Shing^ORCID,Huang Shu-Yen,Lin Zhao-Hui

Publisher

Elsevier BV

Reference37 articles.

1. Distributed solar photovoltaic array location and extent dataset for remote sensing object identification;Bradbury;Sci. Data,2016

2. Random forests;Breiman;Mach. Learn.,2001

3. Comparing CNNs and random forests for Landsat image segmentation trained on a large proxy land cover dataset;Boston;Rem. Sens.,2022

4. A coefficient of agreement for nominal scales;Cohen;Educ. Psychol. Meas.,1960

5. Remote sensing for monitoring photovoltaic solar plants in Brazil using deep semantic segmentation;Costa;Energies,2021

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