Multi-temporal change detection of asbestos roofing: A hybrid object-based deep learning framework with post-classification structure-Reference-Cited by-同舟云学术

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Multi-temporal change detection of asbestos roofing: A hybrid object-based deep learning framework with post-classification structure

Published:2024-04 Issue: Volume:34 Page:101167
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Abbasi Mohammad^ORCID,Hosseiny Benyamin^ORCID,Stewart Rodney A.,Kalantari Mohsen^ORCID,Patorniti Nicholas,Mostafa Sherif^ORCID,Awrangjeb Mohammad^ORCID

Publisher

Elsevier BV

Reference73 articles.

1. Mapping roofing with asbestos-containing material by using remote sensing imagery and machine learning-based image classification: a state-of-the-art review;Abbasi;Sustainability,2022

2. Analysis on change detection techniques for remote sensing applications: a review;Afaq;Ecol. Inf.,2021

3. Deep learning for change detection in remote sensing: a review;Bai;Geo Spatial Inf. Sci.,2022

4. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogrammetry Remote Sens.,2010

5. Geographic object-based image analysis – towards a new paradigm;Blaschke;ISPRS J. Photogrammetry Remote Sens.,2014

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