CNN Algorithm for Roof Detection and Material Classification in Satellite Images
This paper suggests an algorithm for extracting the location of a building from satellite imagery and using that information to modify the roof content. The materials are determined by measuring the conditions where the building is located and detecting the position of a building in broad satellite...
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Format: | Article |
Language: | English |
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MDPI AG
2021-07-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/10/13/1592 |
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author | Jonguk Kim Hyansu Bae Hyunwoo Kang Suk Gyu Lee |
author_facet | Jonguk Kim Hyansu Bae Hyunwoo Kang Suk Gyu Lee |
author_sort | Jonguk Kim |
collection | DOAJ |
description | This paper suggests an algorithm for extracting the location of a building from satellite imagery and using that information to modify the roof content. The materials are determined by measuring the conditions where the building is located and detecting the position of a building in broad satellite images. Depending on the incomplete roof or material, there is a greater possibility of great damage caused by disaster situations or external shocks. To address these problems, we propose an algorithm to detect roofs and classify materials in satellite images. Satellite imaging locates areas where buildings are likely to exist based on roads. Using images of the detected buildings, we classify the material of the roof using a proposed convolutional neural network (CNN) model algorithm consisting of 43 layers. In this paper, we propose a CNN structure to detect areas with buildings in large images and classify roof materials in the detected areas. |
first_indexed | 2024-03-10T09:52:50Z |
format | Article |
id | doaj.art-6ade711efe1040589b838e4f6831fec0 |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-10T09:52:50Z |
publishDate | 2021-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-6ade711efe1040589b838e4f6831fec02023-11-22T02:37:15ZengMDPI AGElectronics2079-92922021-07-011013159210.3390/electronics10131592CNN Algorithm for Roof Detection and Material Classification in Satellite ImagesJonguk Kim0Hyansu Bae1Hyunwoo Kang2Suk Gyu Lee3Korea Polytechnic VII, 51-88 Oedongbanrim-ro, Seongsan-gu, Changwon-si 51518, KoreaKorea Electrotechnology Research Institute, 12, Jeongiui-gil, Seongsan-gu, Changwon-si 51543, KoreaKorea Polytechnic VI, 15 Gukchaebosang-ro 43-gil, Seo-gu, Daegu 41765, KoreaDepartment of Electrical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, KoreaThis paper suggests an algorithm for extracting the location of a building from satellite imagery and using that information to modify the roof content. The materials are determined by measuring the conditions where the building is located and detecting the position of a building in broad satellite images. Depending on the incomplete roof or material, there is a greater possibility of great damage caused by disaster situations or external shocks. To address these problems, we propose an algorithm to detect roofs and classify materials in satellite images. Satellite imaging locates areas where buildings are likely to exist based on roads. Using images of the detected buildings, we classify the material of the roof using a proposed convolutional neural network (CNN) model algorithm consisting of 43 layers. In this paper, we propose a CNN structure to detect areas with buildings in large images and classify roof materials in the detected areas.https://www.mdpi.com/2079-9292/10/13/1592CNNdeep learningdetect roofsatellite images |
spellingShingle | Jonguk Kim Hyansu Bae Hyunwoo Kang Suk Gyu Lee CNN Algorithm for Roof Detection and Material Classification in Satellite Images Electronics CNN deep learning detect roof satellite images |
title | CNN Algorithm for Roof Detection and Material Classification in Satellite Images |
title_full | CNN Algorithm for Roof Detection and Material Classification in Satellite Images |
title_fullStr | CNN Algorithm for Roof Detection and Material Classification in Satellite Images |
title_full_unstemmed | CNN Algorithm for Roof Detection and Material Classification in Satellite Images |
title_short | CNN Algorithm for Roof Detection and Material Classification in Satellite Images |
title_sort | cnn algorithm for roof detection and material classification in satellite images |
topic | CNN deep learning detect roof satellite images |
url | https://www.mdpi.com/2079-9292/10/13/1592 |
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