[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Browse::
Journal Info::
Guide for Authors::
Submit Manuscript::
Articles archive::
For Reviewers::
Contact us::
Site Facilities::
Reviewers::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 3, Issue 2 (11-2013) ::
JGST 2013, 3(2): 69-82 Back to browse issues page
Automatic DEM generation from high resolution Satellite Images H. Mohammadi*, F. Samadzadegan
H. Mohammadi * , F. Samadzadegan
Abstract:   (11532 Views)
Considering ongoing developments in Photogrammetry and Remote Sensing and attending to their applications such as digital true orthophoto generation from high resolution images, have already proven the urgency and necessity of approaches for generating DEM as input of these applications. In this research we describe a novel method for automatic DEM generation. We describe “Semi-Global Matching” algorithm then implement and test it for generating an initial disparity image from high resolution stereo satellite images. Furthermore, post-processing steps for removing outliers, recovering from specific problems of structured environments and the interpolation of gaps are needed, to generate an accurate disparity map. With generating a clear disparity map we can generate 3d point clouds. Then these point clouds are used for generating a precise DEM for other applications.
Keywords: Automatic DEM, Satellite images, Semi-Global Matching, Disparity image, 3D Point cloud
Full-Text [PDF 564 kb]   (3450 Downloads)    
Type of Study: Research | Subject: Photo&RS
Received: 2014/06/14
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

H. Mohammadi, F. Samadzadegan. Automatic DEM generation from high resolution Satellite Images H. Mohammadi*, F. Samadzadegan. JGST 2013; 3 (2) :69-82
URL: http://jgst.issgeac.ir/article-1-31-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 3, Issue 2 (11-2013) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology