Multisensor Fusion Of Ladar And Passive Infrared Imagery For Target Segmentation

Steven K. Rogers; Carl W. Tong; Matthew Kabrisky; James P. Mills

doi:10.1117/12.7977051

1 August 1989 Multisensor Fusion Of Ladar And Passive Infrared Imagery For Target Segmentation

Steven K. Rogers, Carl W. Tong, Matthew Kabrisky, James P. Mills

Author Affiliations +

Optical Engineering, Vol. 28, Issue 8, 288881 (August 1989). https://doi.org/10.1117/12.7977051

Abstract

The synergistic combination of ladar and infrared information allows segmentation of images of real scenes containing objects in the presence of clutter. Log-transformed range gradients from the ladar image are subjected to a threshold test and then processed through a nearest-neighbor filter to segment the images. The combination of processed ladar and forward-looking infrared images subsequently can be used for object identification. Analysis of the range-gradient-based segmentation method is given, and results are shown.

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Steven K. Rogers, Carl W. Tong, Matthew Kabrisky, and James P. Mills "Multisensor Fusion Of Ladar And Passive Infrared Imagery For Target Segmentation," Optical Engineering 28(8), 288881 (1 August 1989). https://doi.org/10.1117/12.7977051

Published: 1 August 1989

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