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Dem Generation from High Resolution Satellite Images Through a New 3D Least Squares Matching Algorithm : Volume Xxxviii-4/W19, Issue 1 (07/09/2012)

By Kim, T.

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Book Id: WPLBN0004017206
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Dem Generation from High Resolution Satellite Images Through a New 3D Least Squares Matching Algorithm : Volume Xxxviii-4/W19, Issue 1 (07/09/2012)  
Author: Kim, T.
Volume: Vol. XXXVIII-4/W19, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Historic
Publication Date:
2012
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

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Rhee, S., & Kim, T. (2012). Dem Generation from High Resolution Satellite Images Through a New 3D Least Squares Matching Algorithm : Volume Xxxviii-4/W19, Issue 1 (07/09/2012). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Geoinformatic Engineering, Inha University, 253 Yonghyun-Dong, Namgu, Incheon Korea. Automated generation of digital elevation models (DEMs) from high resolution satellite images (HRSIs) has been an active research topic for many years. However, stereo matching of HRSIs, in particular based on image-space search, is still difficult due to occlusions and building facades within them. Object-space matching schemes, proposed to overcome these problem, often are very time consuming and critical to the dimensions of voxels. In this paper, we tried a new least square matching (LSM) algorithm that works in a 3D object space. The algorithm starts with an initial height value on one location of the object space. From this 3D point, the left and right image points are projected. The true height is calculated by iterative least squares estimation based on the grey level differences between the left and right patches centred on the projected left and right points. We tested the 3D LSM to the Worldview images over 'Terrassa Sud' provided by the ISPRS WG I/4. We also compared the performance of the 3D LSM with the correlation matching based on 2D image space and the correlation matching based on 3D object space. The accuracy of the DEM from each method was analysed against the ground truth. Test results showed that 3D LSM offers more accurate DEMs over the conventional matching algorithms. Results also showed that 3D LSM is sensitive to the accuracy of initial height value to start the estimation. We combined the 3D COM and 3D LSM for accurate and robust DEM generation from HRSIs. The major contribution of this paper is that we proposed and validated that LSM can be applied to object space and that the combination of 3D correlation and 3D LSM can be a good solution for automated DEM generation from HRSIs.

Summary
DEM GENERATION FROM HIGH RESOLUTION SATELLITE IMAGES THROUGH A NEW 3D LEAST SQUARES MATCHING ALGORITHM

 

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