World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

The Use of Existing Global Elevation Dataset for Absolute Orientation of High Resolution Image Without Gcps : Volume Xxxix-b4, Issue 1 (31/07/2012)

By Jeong, J.

Click here to view

Book Id: WPLBN0004016613
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: The Use of Existing Global Elevation Dataset for Absolute Orientation of High Resolution Image Without Gcps : Volume Xxxix-b4, Issue 1 (31/07/2012)  
Author: Jeong, J.
Volume: Vol. XXXIX-B4, 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

Citation

APA MLA Chicago

Kim, T., & Jeong, J. (2012). The Use of Existing Global Elevation Dataset for Absolute Orientation of High Resolution Image Without Gcps : Volume Xxxix-b4, Issue 1 (31/07/2012). Retrieved from http://www.worldebookfair.com/


Description
Description: Department of Geoinformatic Engineering, Inha University, 253 Yonghyun-Dong, Namgu, Incheon Korea. For precise mapping using high resolution satellite images, various ways to eliminate the need of ground control points have been proposed. DEM matching, a technique to match two different surfaces by adjusting their position and attitude, is also one way of them. Our previous study demonstrated that DEM matching can be used for bias compensation of rigorous pushbroom sensor models. In this paper, we exploit the DEM matching technique further using existing global elevation dataset for absolute orientation of high resolution satellite image without ground control points. In particular, we investigated how the existing global DEM available worldwide can substitute ground control points when DEM matching is applied to linear pushbroom imagery. We used Spot-5 HRG with 2.5m ground sampling distance(GSD) as high resolution satellite images and used SRTM-derived DEMs(DTEDs) with gird spacing of 30m and 90m as existing elevation dataset. We firstly established relative orientation and generated a relative DEM without use of ground control points. DEM matching was then applied between the relative DEM and the DTED. We applied DEM matching based on linear pushbroom images. Through DEM matching, accuracy of about 2 GSD or better could be achieved with in the horizontal and in the vertical direction, respectively. We confirmed automatic DEM matching processing can be accomplished for absolute orientation of pushbroom image and as results, absolute DEM can be achieved from relative DEM. We tested the applicability of 90m existing global dataset for DEM matching. Our experimental results showed the potential of existing DEM for precise mapping without ground control points. This is very encouraging in terms of applicability of the existing global elevation data. This paper will contribute to understanding of DEM matching for linear pushbroom images and of solution to precise mapping without ground control points.

Summary
THE USE OF EXISTING GLOBAL ELEVATION DATASET FOR ABSOLUTE ORIENTATION OF HIGH RESOLUTION IMAGE WITHOUT GCPS

 

Click To View

Additional Books


  • A Novel Image Registration Algorithm for... (by )
  • System Considerations and Challendes in ... (by )
  • Forest Species Classification Based on S... (by )
  • Application of Gis in Modeling Zilbercha... (by )
  • Using Gps-tracking Technology for Urban ... (by )
  • Tropical Forest Remote Sensing Services ... (by )
  • Delineation of Sub-pixel Level Sedimenta... (by )
  • Variance Analysis and Comparison in Comp... (by )
  • Remote Sensing Image Classification of G... (by )
  • Development of a Multi-sensor System for... (by )
  • Advances in Multi-sensor Scanning and Vi... (by )
  • Google Maps for Crowdsourced Emergency R... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Fair are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.