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Real Time Data Processing for Optical Remote Sensing Payloads : Volume Xxxix-b5, Issue 1 (24/07/2012)

By Wohlfeil, J.

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Book Id: WPLBN0004016773
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Real Time Data Processing for Optical Remote Sensing Payloads : Volume Xxxix-b5, Issue 1 (24/07/2012)  
Author: Wohlfeil, J.
Volume: Vol. XXXIX-B5, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


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Börner, A., Buder, M., Ernst, I., Reulke, R., Krutz, D., & Wohlfeil, J. (2012). Real Time Data Processing for Optical Remote Sensing Payloads : Volume Xxxix-b5, Issue 1 (24/07/2012). Retrieved from

Description: German Aerospace Center (DLR), Institute of Robotics and Mechatronics, Dept. of Data Processing for Optical Systems, Rutherfordstr. 2, 12489 Berlin, Germany. The application of operational systems for remote sensing requires new approaches for data processing. It has to be the goal to derive user relevant information close the sensor itself and to downlink this information to a ground station or to provide them as input to an actuator of the space-borne platform. A complete automation of data processing is an essential first step for a thematic onboard data processing. In a second step, an appropriate onboard computer system has to be de-signed being able to fulfill the requirements.

In this paper, standard data processing steps will be introduced correcting systematic errors during image capturing. A new hardware operating system, which is the interface between FPGA hardware and data processing algorithms, gives the opportunity to implement complex data processing modules in an effective way. As an example the derivation the camera's orientation based on data of an optical payload is described in detail. The thereby derived absolute or relative orientation is essential for high level data products. This will be illustrated by means of an onboard image matcher



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