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Rapid Self Organizing Maps for Terrain Surface Reconstruction

Peinecke, Niklas and Korn, Bernd R. (2009) Rapid Self Organizing Maps for Terrain Surface Reconstruction. SPIE. SPIE Enhanced and Synthetic Vision 2009, 2009-04-14 - 2009-04-16, Orlando, FL, USA .

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1117/12.818098

Abstract

Since their introduction by Kohonen Self-Organizing Maps (SOMs) have been used in various forms for purposes of surface reconstruction. They offer robust and fast approximations of manifold data from unstructured input points while being modestly easy to implement. On the other hand SOMs have certain disadvantages when used in a setup where sparse, reliable and spacial unbounded data occurs. For example, airborne Lidar sensors generate a continuous stream of point data while flying above terrain. We introduce modifications of the SOM's data structure to adapt it to unbound data. Furthermore, we introduce a new variation of the learning rule called rapid learning that is feasible for sparse but rather reliable data. We demonstrate examples where the surroundings of an aircraft can be reconstructed in almost real time.

Item URL in elib:https://elib.dlr.de/76571/
Document Type:Conference or Workshop Item (Paper)
Additional Information:referiertes Abstract
Title:Rapid Self Organizing Maps for Terrain Surface Reconstruction
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Peinecke, NiklasUNSPECIFIEDhttps://orcid.org/0000-0002-6683-2323UNSPECIFIED
Korn, Bernd R.UNSPECIFIEDhttps://orcid.org/0000-0003-3598-8971UNSPECIFIED
Date:6 May 2009
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:7328
Page Range:p. 732807
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Güell, Jeff J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Uijt de Haag, MaartenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:SPIE
Series Name:Proceedings of the SPIE
Status:Published
Keywords:Surface Reconstruction Lidar Range Data Self Organizing Maps Scattered Data Unbound Domain Sparse Point Set
Event Title:SPIE Enhanced and Synthetic Vision 2009
Event Location:Orlando, FL, USA
Event Type:Conference
Event Start Date:14 April 2009
Event End Date:16 April 2009
Organizer:SPIE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Pilot Assistance
Deposited By: Peinecke, Dr.rer.nat. Niklas
Deposited On:20 Jul 2012 08:34
Last Modified:24 Apr 2024 19:42

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