Ground-based algorithms for processing Midcourse Space Experiment Spirit III infrared radiometer data

Kevin H. Giles; Wally W. Moore Jr.; William Tom Prestwood

doi:10.1117/12.177745

10 June 1994 Ground-based algorithms for processing Midcourse Space Experiment Spirit III infrared radiometer data

Kevin H. Giles, Wally W. Moore Jr., William Tom Prestwood

Proceedings Volume 2232, Signal Processing, Sensor Fusion, and Target Recognition III; (1994) https://doi.org/10.1117/12.177745
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

This paper discusses the postflight ground processing algorithms for the Midcourse Space Experiment (MSX) Spatial Infrared Imaging Telescope (SPIRIT) III radiometer data. The algorithm suite consists of image processing and object tracking that produces object histories for postflight signature studies. The image processing is centered around least squares estimators for single and multiple objects for classification and characterization of object parameters. Object-tracking algorithms are implemented to support association of objects across multiple scans by utilizing an adaptive nearest neighbor association technique. A discussion of the design requirements and performance of the implemented algorithms will be presented.

Citation Download Citation

Kevin H. Giles, Wally W. Moore Jr., and William Tom Prestwood "Ground-based algorithms for processing Midcourse Space Experiment Spirit III infrared radiometer data", Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); https://doi.org/10.1117/12.177745

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