Chipping and Segmentation of Target of Interest from Low-Resolution Electro-Optical Data

摘要

This paper mainly discusses the chipping and segmentation of target-of-interest (TOI) from low-resolution 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.