AI Dataset for Road Detection using KOMPSAT Images

Information on shape and type of road present in an optical image of satellite is useful for digital mapping and monitoring of road changes. Processing and structuring optical image data collected from payloads mounted on KOMPSAT 3 and 3A can accelerate the development of road detection algorithms a...

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Main Authors: Hoonhee Lee, Han Oh
Format: Article
Language:English
Published: GeoAI Data Society 2022-03-01
Series:Geo Data
Subjects:
Online Access:http://geodata.kr/upload/pdf/geo-4-1-43.pdf
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author Hoonhee Lee
Han Oh
author_facet Hoonhee Lee
Han Oh
author_sort Hoonhee Lee
collection DOAJ
description Information on shape and type of road present in an optical image of satellite is useful for digital mapping and monitoring of road changes. Processing and structuring optical image data collected from payloads mounted on KOMPSAT 3 and 3A can accelerate the development of road detection algorithms and the extraction of road information using them. In particular, if it is built with a learning dataset for AI (Artificial Intelligence) prepared to apply deep learning technology, the latest artificial intelligence technology in the field of computer science can be spun off to the field of satellite image-based road detection to attempt a wide range of analysis. Korea Aerospace Research Institute constructed an image dataset for AI learning using satellite optical images with Korean companies, and this paper explains the type and size of datasets along with examples of the use of the dataset. The established data can be used through the website, aihub.or.kr.
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spelling doaj.art-327e805a36bb44f6b3a0f42d77d615082023-09-08T07:05:24ZengGeoAI Data SocietyGeo Data2713-50042022-03-0141434810.22761/DJ2022.4.1.00560AI Dataset for Road Detection using KOMPSAT ImagesHoonhee Lee0Han Oh1Satellite Application Division, Korea Aerospace Research Institute, Daejeon 34133, Republic of KoreaSatellite Application Division, Korea Aerospace Research Institute, Daejeon 34133, Republic of KoreaInformation on shape and type of road present in an optical image of satellite is useful for digital mapping and monitoring of road changes. Processing and structuring optical image data collected from payloads mounted on KOMPSAT 3 and 3A can accelerate the development of road detection algorithms and the extraction of road information using them. In particular, if it is built with a learning dataset for AI (Artificial Intelligence) prepared to apply deep learning technology, the latest artificial intelligence technology in the field of computer science can be spun off to the field of satellite image-based road detection to attempt a wide range of analysis. Korea Aerospace Research Institute constructed an image dataset for AI learning using satellite optical images with Korean companies, and this paper explains the type and size of datasets along with examples of the use of the dataset. The established data can be used through the website, aihub.or.kr.http://geodata.kr/upload/pdf/geo-4-1-43.pdfdatasetroad detectionroad segmentationsatellite imageartificial intelligence
spellingShingle Hoonhee Lee
Han Oh
AI Dataset for Road Detection using KOMPSAT Images
Geo Data
dataset
road detection
road segmentation
satellite image
artificial intelligence
title AI Dataset for Road Detection using KOMPSAT Images
title_full AI Dataset for Road Detection using KOMPSAT Images
title_fullStr AI Dataset for Road Detection using KOMPSAT Images
title_full_unstemmed AI Dataset for Road Detection using KOMPSAT Images
title_short AI Dataset for Road Detection using KOMPSAT Images
title_sort ai dataset for road detection using kompsat images
topic dataset
road detection
road segmentation
satellite image
artificial intelligence
url http://geodata.kr/upload/pdf/geo-4-1-43.pdf
work_keys_str_mv AT hoonheelee aidatasetforroaddetectionusingkompsatimages
AT hanoh aidatasetforroaddetectionusingkompsatimages