Analytic registration of spatially and spectrally disparate co-located imaging sensors achieved by matching optical flow

Jonathon M. Schuler; J. Grant Howard; Dean A. Scribner; Penny R. Warren; Richard B. Klein; Michael P. Satyshur; Melvin R. Kruer

doi:10.1117/12.437016

20 August 2001 Analytic registration of spatially and spectrally disparate co-located imaging sensors achieved by matching optical flow

Jonathon M. Schuler, J. Grant Howard, Dean A. Scribner, Penny R. Warren, Richard B. Klein, Michael P. Satyshur, Melvin R. Kruer

Author Affiliations +

Proceedings Volume 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII; (2001) https://doi.org/10.1117/12.437016
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

A multi-spectral imaging system can be defined as a combination of electro-optic imagers that are mechanically constrained to view the same scene. Subsequent processing of the output imagery invariably requires a spatial registration of one spectral band image to geometrically conform to the imagery from a different sensor. This paper outlines a procedure to leverage motion estimation of a pair of video sequences to determine a transformation that minimizes the disparity in optical flow between the sequences.

Citation Download Citation

Jonathon M. Schuler, J. Grant Howard, Dean A. Scribner, Penny R. Warren, Richard B. Klein, Michael P. Satyshur, and Melvin R. Kruer "Analytic registration of spatially and spectrally disparate co-located imaging sensors achieved by matching optical flow", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); https://doi.org/10.1117/12.437016

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