Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery

To extract blue roofs (BRs) from remote sensing images quickly, first, this study used WorldView-2 and WorldView-3 as the data sources and created a new BR spectral area model (BRSAM) using the polygon area difference between the spectral curves of BRs and other image categories in bands 2–8. Then t...

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Main Authors: Huaipeng Liu, Xiaoqing Zuo
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022017054
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author Huaipeng Liu
Xiaoqing Zuo
author_facet Huaipeng Liu
Xiaoqing Zuo
author_sort Huaipeng Liu
collection DOAJ
description To extract blue roofs (BRs) from remote sensing images quickly, first, this study used WorldView-2 and WorldView-3 as the data sources and created a new BR spectral area model (BRSAM) using the polygon area difference between the spectral curves of BRs and other image categories in bands 2–8. Then the extraction effect of BRSAM with those of the blue ground object spectral index (BGOSI), blue object spectrum index (BOSI) and maximum likelihood classification was compared; the results showed that BRSAM overcomes the shortcomings of BGOSI and BOSI, i.e. erroneously extracted shadow and white and yellow ground objects as BRs. However, BRSAM has the disadvantage of erroneously extracting some vegetation and green plastic playground as BRs. Considering that the disadvantage of one of BRSAM, BGOSI, and BOSI in extracting BRs can be compensated by the two other spectral models/indices, we combined the three spectral models/indices and used the synthetic spectral model to extract BRs. Notably, the synthetic spectral model overcomes the shortcomings of the three spectral models in BR extraction, and its effect is better than any one of them separately used. Meanwhile, the spectral model/index method used in BR extraction is better than the classification method. The spectral model/index method is a convenient and effective method for BR extraction, which could be used as a reference in the classification of other data.
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spelling doaj.art-ebd343b7dc0a4d429bbe06eecba168802022-12-22T03:23:38ZengElsevierHeliyon2405-84402022-09-0189e10417Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imageryHuaipeng Liu0Xiaoqing Zuo1School of Land and Tourism, Luoyang Normal University, Luoyang, Henan Province 471934, China; Corresponding author.School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, Anhui, ChinaTo extract blue roofs (BRs) from remote sensing images quickly, first, this study used WorldView-2 and WorldView-3 as the data sources and created a new BR spectral area model (BRSAM) using the polygon area difference between the spectral curves of BRs and other image categories in bands 2–8. Then the extraction effect of BRSAM with those of the blue ground object spectral index (BGOSI), blue object spectrum index (BOSI) and maximum likelihood classification was compared; the results showed that BRSAM overcomes the shortcomings of BGOSI and BOSI, i.e. erroneously extracted shadow and white and yellow ground objects as BRs. However, BRSAM has the disadvantage of erroneously extracting some vegetation and green plastic playground as BRs. Considering that the disadvantage of one of BRSAM, BGOSI, and BOSI in extracting BRs can be compensated by the two other spectral models/indices, we combined the three spectral models/indices and used the synthetic spectral model to extract BRs. Notably, the synthetic spectral model overcomes the shortcomings of the three spectral models in BR extraction, and its effect is better than any one of them separately used. Meanwhile, the spectral model/index method used in BR extraction is better than the classification method. The spectral model/index method is a convenient and effective method for BR extraction, which could be used as a reference in the classification of other data.http://www.sciencedirect.com/science/article/pii/S2405844022017054WorldView-2 and WorldView-3 imageryBlue roofSpectral area model creationSpectral model synthesisTarget object extractionPerformance comparison
spellingShingle Huaipeng Liu
Xiaoqing Zuo
Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery
Heliyon
WorldView-2 and WorldView-3 imagery
Blue roof
Spectral area model creation
Spectral model synthesis
Target object extraction
Performance comparison
title Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery
title_full Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery
title_fullStr Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery
title_full_unstemmed Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery
title_short Extraction of blue roofs using BRSAM and the newly created spectral index derived from WorldView-2/3 imagery
title_sort extraction of blue roofs using brsam and the newly created spectral index derived from worldview 2 3 imagery
topic WorldView-2 and WorldView-3 imagery
Blue roof
Spectral area model creation
Spectral model synthesis
Target object extraction
Performance comparison
url http://www.sciencedirect.com/science/article/pii/S2405844022017054
work_keys_str_mv AT huaipengliu extractionofblueroofsusingbrsamandthenewlycreatedspectralindexderivedfromworldview23imagery
AT xiaoqingzuo extractionofblueroofsusingbrsamandthenewlycreatedspectralindexderivedfromworldview23imagery