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...

Full description

Bibliographic Details
Main Authors: Jonguk Kim, Hyansu Bae, Hyunwoo Kang, Suk Gyu Lee
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/13/1592
_version_ 1797528064779878400
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
work_keys_str_mv AT jongukkim cnnalgorithmforroofdetectionandmaterialclassificationinsatelliteimages
AT hyansubae cnnalgorithmforroofdetectionandmaterialclassificationinsatelliteimages
AT hyunwookang cnnalgorithmforroofdetectionandmaterialclassificationinsatelliteimages
AT sukgyulee cnnalgorithmforroofdetectionandmaterialclassificationinsatelliteimages