Abstract

Abstract. 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

Highlights

  • For a large number of possible applications the current capabilities of remote sensing is insufficient: The number of deployed sensors is low, most of them have limited geometrical resolutions, and revisiting periods are long

  • The transfer of new technologies into operational systems is a very resource-consuming process leading to high costs

  • More in detail the optical navigation for line sensors is explained, meaning the derivation of orientation information based on data of imaging systems

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Summary

INTRODUCTION

For a large number of possible applications the current capabilities of remote sensing is insufficient: The number of deployed sensors is low, most of them have limited geometrical resolutions, and revisiting periods are long. Programs like GMES are expected to deliver data and information 24 hours / 7 days with a high quality, reliability, availability and integrity For such systems, no manual interaction is acceptable due to customer and user requirements with respect to throughput, quality assurance, costs, and reproducibility. Relevant information shall be derived from the payload data as close as possible to the sensor itself This information can be transmitted or can be provided to actuators onboard the satellite. More in detail the optical navigation for line sensors is explained, meaning the derivation of orientation information based on data of imaging systems. This processing step is essential for a huge number of applications.

HARDWARE DESIGN METHODOLOGY
Exterior Orientation application
Error correction
Measurement of fast orientation changes of multispectral line sensors
Image-Based Derivation of the Camera’s Absolute Orientation
Experimental Results
IMAGE MATCHING
CONCLUSIONS
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