Incorporating A Priori Knowledge Into A Moving Vehicle Detector For TerraSAR-X Data

Laika, Andreas and Meyer, Franz Josef and Hinz, Stefan and Bamler, Richard (2005) Incorporating A Priori Knowledge Into A Moving Vehicle Detector For TerraSAR-X Data. International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Phoenix Arizona, 16.3.2005.

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Official URL: http://ces.asu.edu/urs/index.htm

Abstract

Rising interest in traffic monitoring applications motivate the analysis of TerraSAR-X data for traffic monitoring applications. In order to sidestep the limitations of the TerraSAR-X sensor, this paper examines a new approach to improve detection using a priori information. Using Monte-Carlo Simulation the possibility of improving detection with ATI is demonstrated.

Document Type:

Conference or Workshop Item (Paper)

Additional Information:

LIDO-Berichtsjahr=2005,

Title:

Incorporating A Priori Knowledge Into A Moving Vehicle Detector For TerraSAR-X Data

Authors:

Authors	Institution or Email of Authors
Laika, Andreas
Meyer, Franz Josef
Hinz, Stefan
Bamler, Richard

Date:

2005

Status:

Published

Keywords:

Radar, High resolution, SAR, Satellite, Urban, Monitoring, Detection

Event Title:

International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Phoenix Arizona, 16.3.2005

Organizer:

Center for Environmental Studies Arizona State University

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

W EO - Erdbeobachtung

DLR - Research area:

Space

DLR - Program:

W EO - Erdbeobachtung

DLR - Research theme (Project):

UNSPECIFIED

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute

Deposited By:

Cornelia Roehl

Deposited On:

16 Jan 2006

Last Modified:

06 Jan 2010 22:41

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