Geometric mapping in an advanced remote sensing simulator

Winston Beauchamp; Steve Marusa; Rajiv Gupta; William Hoffman

doi:10.1117/12.186556

21 September 1994 Geometric mapping in an advanced remote sensing simulator

Winston Beauchamp, Steve Marusa, Rajiv Gupta, William Hoffman

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186556
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

The advanced remote sensing simulator (ARSIM) is a multi-purpose, interactive satellite sensor simulation environment under development at Martin Marietta AstroSpace, with the cooperation of GE's Corporate Research and Development. ARSIM accepts as inputs (1) an input image at a higher resolution than the desired output, (2) a digital elevation model (DEM) for the terrain in the scene, (3) parameters governing the orientation and attitude drift of the sensor, (4) optical and radiometric properties of the sensor platform and sensor interface parameters, (5) atmospheric conditions, (6) cloud models, (7) targets to be inserted in the image, and (8) types of data processing. Using these inputs, ARSIM generates a high-fidelity simulated image, in the appropriate bandpass, as seen from the satellite. The simulated image incorporates the effect of satellite motion, earth's rotation, jitter, drift, and other motions, optical blurring, atmospheric distortion, occlusion because of clouds and terrain relief, and various other effects. ARSIM allows the user to validate initial specifications on the platform and payload, pose what-if queries, and experiment with the parameters of the satellite. The objective of this paper is to describe the functions and software architecture used in ARSIM.

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Winston Beauchamp, Steve Marusa, Rajiv Gupta, and William Hoffman "Geometric mapping in an advanced remote sensing simulator", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186556

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KEYWORDS

Sensors

Image sensors

Satellites

Clouds

Atmospheric modeling

Atmospheric optics

Motion models

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