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Automated Georeferencing of Optical Satellite Data with Integrated Sensor Model Improvement

Müller, Rupert and Krauß, Thomas and Schneider, Mathias and Reinartz, Peter (2012) Automated Georeferencing of Optical Satellite Data with Integrated Sensor Model Improvement. Photogrammetric Engineering and Remote Sensing (PE&RS), 78 (1), pp. 61-74. American Society for Photogrammetry and Remote Sensing. ISSN 0099-1112

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Abstract

The geometric processing of remotely sensed image data is one of the key issues in data interpretation, added value product generation, and multi-source data integration. Although optical satellite data can be orthorectified without the use of Ground Control Points (GCP) to absolute geometric accuracies of some meters up to several hundred meters depending on the satellite mission, there is still a need to improve the geometric accuracy by using GCP. The manual measurement of GCP is time consuming work, and leads, especially for larger data sets with hundreds of satellite images, to a cost and time ineffective workload. To overcome these shortcomings, an autonomous processing chain to georeference and orthorectify optical satellite data is proposed which uses reference data and digital elevation models to generate GCP and to improve sensor model parameters (namely for rigorous and universal sensor models) for a series of optical Earth observation satellite systems. Using a restrictive blunder removal strategy, the proposed procedure leads to high quality orthorectified products or at least to a geometrically consistent data set in terms of relative accuracy. The geometric processing chain is validated using SPOT-4 HRVIR, SPOT-5 HRG, IRS-P6 LISS III, and ALOS AVNIR-2 optical sensor data, for which a huge amount of satellite data (3,200 scenes) has been processed. Relative and absolute geometric accuracies of approximately half the pixel size (linear Root Mean Square Error) are achieved.

Item URL in elib:https://elib.dlr.de/73596/
Document Type:Article
Title:Automated Georeferencing of Optical Satellite Data with Integrated Sensor Model Improvement
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Müller, RupertMF-PBUNSPECIFIED
Krauß, ThomasMF-PBUNSPECIFIED
Schneider, MathiasMF-PBUNSPECIFIED
Reinartz, PeterMF-PBUNSPECIFIED
Date:January 2012
Journal or Publication Title:Photogrammetric Engineering and Remote Sensing (PE&RS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:78
Page Range:pp. 61-74
Publisher:American Society for Photogrammetry and Remote Sensing
ISSN:0099-1112
Status:Published
Keywords:Georeferencing, Orthorectification, Optical Satellite Data, Processing Chain
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Müller, Rupert
Deposited On:09 Jan 2012 07:03
Last Modified:06 Sep 2019 15:29

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