A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS

Damage assessment is an important step toward the restoration of the severely affected areas due to natural disasters or accidents. For more accurate and rapid assessment, one should utilize geospatial data such as ortho-images acquired from the damaged areas. Change detection based on the geospat...

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Main Authors: E. Jeon, K. Choi, I. Lee, H. Kim
Format: Article
Language:English
Published: Copernicus Publications 2013-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/217/2013/isprsarchives-XL-1-W2-217-2013.pdf
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spelling doaj-5f76d12bd63b4f58b26ac4cff9ac226f2020-11-24T23:18:56ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-08-01XL-1-W221722110.5194/isprsarchives-XL-1-W2-217-2013A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREASE. Jeon0K. Choi1I. Lee2H. Kim3Dept. of Geoinformatics, The University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 130-743, KoreaDept. of Geoinformatics, The University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 130-743, KoreaDept. of Geoinformatics, The University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 130-743, KoreaDept. of Geoinformatics, The University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 130-743, KoreaDamage assessment is an important step toward the restoration of the severely affected areas due to natural disasters or accidents. For more accurate and rapid assessment, one should utilize geospatial data such as ortho-images acquired from the damaged areas. Change detection based on the geospatial data before and after the damage can make possible fast and automatic assessment with a reasonable accuracy. Accordingly, there have been significant demands on a rapid mapping system, which can provide the orthoimages of the damaged areas to the specialists and decision makers in disaster management agencies. In this study, we are developing a UAV based rapid mapping system that can acquire multi-sensory data in the air and generate ortho-images from the data on the ground in a rapid and automatic way. The proposed system consists of two main segments, aerial and ground segments. The aerial segment is to acquire sensory data through autonomous flight over the specified target area. It consists of a micro UAV platform, a mirror-less camera, a GPS, a MEMS IMU, and sensor integration and synchronization module. The ground segment is to receive and process the multi-sensory data to produce orthoimages in rapid and automatic ways. It consists of a computer with appropriate software for flight planning, data reception, georeferencing, and orthoimage generation. In the middle of this on-going project, we will introduce the overview of the project, describe the main components of each segment and provide intermediate results from preliminary test flights.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/217/2013/isprsarchives-XL-1-W2-217-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. Jeon
K. Choi
I. Lee
H. Kim
spellingShingle E. Jeon
K. Choi
I. Lee
H. Kim
A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet E. Jeon
K. Choi
I. Lee
H. Kim
author_sort E. Jeon
title A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS
title_short A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS
title_full A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS
title_fullStr A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS
title_full_unstemmed A MULTI-SENSOR MICRO UAV BASED AUTOMATIC RAPID MAPPING SYSTEM FOR DAMAGE ASSESSMENT IN DISASTER AREAS
title_sort multi-sensor micro uav based automatic rapid mapping system for damage assessment in disaster areas
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2013-08-01
description Damage assessment is an important step toward the restoration of the severely affected areas due to natural disasters or accidents. For more accurate and rapid assessment, one should utilize geospatial data such as ortho-images acquired from the damaged areas. Change detection based on the geospatial data before and after the damage can make possible fast and automatic assessment with a reasonable accuracy. Accordingly, there have been significant demands on a rapid mapping system, which can provide the orthoimages of the damaged areas to the specialists and decision makers in disaster management agencies. In this study, we are developing a UAV based rapid mapping system that can acquire multi-sensory data in the air and generate ortho-images from the data on the ground in a rapid and automatic way. The proposed system consists of two main segments, aerial and ground segments. The aerial segment is to acquire sensory data through autonomous flight over the specified target area. It consists of a micro UAV platform, a mirror-less camera, a GPS, a MEMS IMU, and sensor integration and synchronization module. The ground segment is to receive and process the multi-sensory data to produce orthoimages in rapid and automatic ways. It consists of a computer with appropriate software for flight planning, data reception, georeferencing, and orthoimage generation. In the middle of this on-going project, we will introduce the overview of the project, describe the main components of each segment and provide intermediate results from preliminary test flights.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/217/2013/isprsarchives-XL-1-W2-217-2013.pdf
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