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.

Date Published: 3 June 2013
PDF: 8 pages
Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440R (3 June 2013); doi: 10.1117/12.2015972

Published in SPIE Proceedings Vol. 8744:
Automatic Target Recognition XXIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)