Chipping and segmentation of target of interest from low-resolution electro-optical data

Shane Fernandes; Yu Liang

doi:10.1117/12.2015972

3 June 2013 Chipping and segmentation of target of interest from low-resolution electro-optical data

Shane Fernandes, Yu Liang

Proceedings Volume 8744, Automatic Target Recognition XXIII; 87440R (2013) https://doi.org/10.1117/12.2015972
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

This paper mainly discusses the chipping and segmentation of target-of-interest (TOI) from lowresolution gray-scale electro-optical (EO) data, which is acquired by unmanned aerial vehicle (UAV) hovering above the city. As the processing for automatic target recognition, chipping and segmentation of TOI consist of the following two steps: regional chipping and target segmentation. Regional chipping is dedicated to obtaining the minimal region surrounding the TOI so that it can be accurately and efficiently recognized. Target segmentation is dedicated to isolating a TOI from the background and is implemented using the diffusion algorithm. The whole work is accomplished in MATLAB and is critically assessed using the given EO data.

Citation Download Citation

Shane Fernandes and Yu Liang "Chipping and segmentation of target of interest from low-resolution electro-optical data", Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440R (3 June 2013); https://doi.org/10.1117/12.2015972

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