DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION
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Redalyc
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| Formato: | Artículo científico |
| Lenguaje: | en |
| Publicado: |
Universidade Federal do Paraná
2019
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| _version_ | 1876462644921106432 |
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| author | Samara Azevedo |
| author_facet | Samara Azevedo |
| contents | DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION Samara Azevedo Renan Furlan de Oliveira Wallace Casaca Erivaldo Silva Ciencias de la Tierra Built up Area Inpainting Shadow Removal Remote Sensing Different built-up structures usually lead to large regions covered by shadows, causing partial or total loss of information present in urban environments. In order to mitigate the presence of shadows while improving the urban target discrimination in multispectral images, this paper proposes an automated methodology for both detection and recovery of shadows. First, the image bands are preprocessed in order to highlight their most relevant parts. Secondly, a shadow detection procedure is performed by using morphological filtering so that a shadow mask is obtained. Finally, the reconstruction of shadow-occluded areas is accomplished by an image inpainting strategy. The experimental evaluation of our methodology was carried out in four study areas acquired from a WorldView-2 (WV-2) satellite scene over the urban area of São Paulo city. The experiments have demonstrated a high performance of the proposed shadow detection scheme, with an average overall accuracy up to 92%. Considering the results obtained by our shadow removal strategy, the pre-selected shadows were substantially recovered, as verified by visual inspections. Comparisons involving both VrNIR-BI and VgNIR-BI spectral indices computed from original and shadow-free images also attest the substantial gain in recovering anthropic targets such as streets, roofs and buildings initially damaged by shadows. 2019 artículo científico 1413-4853 https://www.redalyc.org/articulo.oa?id=393960483003 https://www.redalyc.org/journal/3939/393960483003/ https://www.redalyc.org/journal/3939/393960483003/html/ https://www.redalyc.org/journal/3939/393960483003/393960483003.epub https://www.redalyc.org/journal/3939/393960483003/movil 10.1590/s1982-21702019000S00003 en http://www.redalyc.org/revista.oa?id=3939 Boletim de Ciências Geodésicas application/pdf Universidade Federal do Paraná Boletim de Ciências Geodésicas (Brasil) Vol.25 |
| format | Artículo científico |
| id | redalyc_393960483003 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidade Federal do Paraná |
| spellingShingle | DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION Samara Azevedo Ciencias de la Tierra Built up Area Inpainting Shadow Removal Remote Sensing DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION Samara Azevedo Renan Furlan de Oliveira Wallace Casaca Erivaldo Silva Ciencias de la Tierra Built up Area Inpainting Shadow Removal Remote Sensing Different built-up structures usually lead to large regions covered by shadows, causing partial or total loss of information present in urban environments. In order to mitigate the presence of shadows while improving the urban target discrimination in multispectral images, this paper proposes an automated methodology for both detection and recovery of shadows. First, the image bands are preprocessed in order to highlight their most relevant parts. Secondly, a shadow detection procedure is performed by using morphological filtering so that a shadow mask is obtained. Finally, the reconstruction of shadow-occluded areas is accomplished by an image inpainting strategy. The experimental evaluation of our methodology was carried out in four study areas acquired from a WorldView-2 (WV-2) satellite scene over the urban area of São Paulo city. The experiments have demonstrated a high performance of the proposed shadow detection scheme, with an average overall accuracy up to 92%. Considering the results obtained by our shadow removal strategy, the pre-selected shadows were substantially recovered, as verified by visual inspections. Comparisons involving both VrNIR-BI and VgNIR-BI spectral indices computed from original and shadow-free images also attest the substantial gain in recovering anthropic targets such as streets, roofs and buildings initially damaged by shadows. 2019 artículo científico 1413-4853 https://www.redalyc.org/articulo.oa?id=393960483003 https://www.redalyc.org/journal/3939/393960483003/ https://www.redalyc.org/journal/3939/393960483003/html/ https://www.redalyc.org/journal/3939/393960483003/393960483003.epub https://www.redalyc.org/journal/3939/393960483003/movil 10.1590/s1982-21702019000S00003 en http://www.redalyc.org/revista.oa?id=3939 Boletim de Ciências Geodésicas application/pdf Universidade Federal do Paraná Boletim de Ciências Geodésicas (Brasil) Vol.25 |
| title | DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION |
| topic | Ciencias de la Tierra Built up Area Inpainting Shadow Removal Remote Sensing |
| url | https://www.redalyc.org/articulo.oa?id=393960483003 https://www.redalyc.org/journal/3939/393960483003/ https://www.redalyc.org/journal/3939/393960483003/html/ https://www.redalyc.org/journal/3939/393960483003/393960483003.epub https://www.redalyc.org/journal/3939/393960483003/movil |