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A Feature-Based Small Target Detection System

  • Jong-Ho KimEmail author
  • Young-Su Park
  • Sang-Ho Ahn
  • Sang-Kyoon Kim
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

Abstract

Existing small target detection systems generally use the difference image between a predicted background image and an original image. This method has two disadvantages. First, to predict the background image, the size of the structural element has to be carefully selected considering the size of small targets. Second, because of blurring, clutter such as clouds can occur around the edge of the background. To deal with these problems we propose a new feature-based detection system. The proposed method selects candidate pixels with Harris corner detector and then, again selects pixels that have a higher intensity than a threshold among the candidates. After labeling the selected candidates in order to obtain the number of pixels they have, the system decides which is a small target. In an experiment, our proposed method gave better results than the existing methods.

Keywords

Harris corner detector New White Top-Hat Labeling Histogram 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jong-Ho Kim
    • 1
    Email author
  • Young-Su Park
    • 1
  • Sang-Ho Ahn
    • 2
  • Sang-Kyoon Kim
    • 1
  1. 1.Department of Computer EngineeringInje UniversityGimhaeRepublic of Korea
  2. 2.Department of Electronic EngineeringInje UniversityGimhaeRepublic of Korea

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