Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 789429, 9 pages
Research Article

High-Resolution Remotely Sensed Small Target Detection by Imitating Fly Visual Perception Mechanism

College of Computer and Information Engineering, Hohai University, Nanjing 210098, China

Received 25 July 2011; Accepted 10 October 2011

Academic Editor: Carlo Cattani

Copyright © 2012 Fengchen Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The difficulty and limitation of small target detection methods for high-resolution remote sensing data have been a recent research hot spot. Inspired by the information capture and processing theory of fly visual system, this paper endeavors to construct a characterized model of information perception and make use of the advantages of fast and accurate small target detection under complex varied nature environment. The proposed model forms a theoretical basis of small target detection for high-resolution remote sensing data. After the comparison of prevailing simulation mechanism behind fly visual systems, we propose a fly-imitated visual system method of information processing for high-resolution remote sensing data. A small target detector and corresponding detection algorithm are designed by simulating the mechanism of information acquisition, compression, and fusion of fly visual system and the function of pool cell and the character of nonlinear self-adaption. Experiments verify the feasibility and rationality of the proposed small target detection model and fly-imitated visual perception method.