Min-local-LoG filter for detecting small targets in cluttered background

Title
Min-local-LoG filter for detecting small targets in cluttered background
Author(s)
김성호
Issue Date
201101
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
ELECTRONICS LETTERS, v.47, no.2, pp.105 - +
Abstract
A novel spatial filtering method is presented to detect small targets in a cluttered background for infrared search and track (IRST). The filtering process of localised directional Laplacian-of-Gaussian (LoG) filtering, and the minimum selection can then remove false detections around cloud edges maintaining a small target detection capability. Experimental results validate the feasibility of the proposed method (called min-local-LoG).
URI
http://hdl.handle.net/YU.REPOSITORY/25774http://dx.doi.org/10.1049/el.2010.2066
ISSN
0013-5194
Appears in Collections:
공과대학 > 전자공학과 > Articles
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