AUTOMATIC BUILDING DAMAGE DETECTION METHOD USING HIGH-RESOLUTION REMOTE SENSING IMAGES AND 3D GIS MODEL

Jihui Tu,Haigang Sui,Wenqing Feng,Zhina Song

doi:10.5194/isprsannals-iii-8-43-2016

Jihui Tu, Haigang Sui + Show 2 more

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https://doi.org/10.5194/isprsannals-iii-8-43-2016

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Abstract

In this paper, a novel approach of building damaged detection is proposed using high resolution remote sensing images and 3D GIS-Model data. Traditional building damage detection method considers to detect damaged building due to earthquake, but little attention has been paid to analyze various building damaged types(e.g., trivial damaged, severely damaged and totally collapsed.) Therefore, we want to detect the different building damaged type using 2D and 3D feature of scenes because the real world we live in is a 3D space. The proposed method generalizes that the image geometric correction method firstly corrects the post-disasters remote sensing image using the 3D GIS model or RPC parameters, then detects the different building damaged types using the change of the height and area between the pre- and post-disasters and the texture feature of post-disasters. The results, evaluated on a selected study site of the Beichuan earthquake ruins, Sichuan, show that this method is feasible and effective in building damage detection. It has also shown that the proposed method is easily applicable and well suited for rapid damage assessment after natural disasters.

Highlights

In this paper, a novel approach of building damaged detection is proposed using high resolution remote sensing images and 3D GIS-Model data
Many approaches for detection and estimation and reliable results, including the height feature change earthquake-building damage have been proposed. from Lidar and stereo images, the texture feature
The purpose of this paper is to present an approach to detect the different building damaged types using pre-disaster 3D GIS model and post-disaster remote sensing images

Summary

Introduction

A novel approach of building damaged detection is proposed using high resolution remote sensing images and 3D GIS-Model data. The proposed method generalizes that the image geometric correction method firstly corrects the post-disasters remote sensing image using the 3D GIS model or RPC parameters, detects the different building damaged types using the change of the height and area between the pre- and post-disasters and the texture feature of post-disasters. After an method is another method to detect building damage earthquake, rapid damage assessment is vital for using only one set of remote sensing data collected emergency response actions, rescue work and after a seismic event[6][7][8].The approach mainly post-disaster reconstruction. Owing to its speed and automation, this using various remote sensing images and GIS data, but approach is the most commonly employed technique

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