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.
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© 2014 Springer-Verlag Berlin Heidelberg
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Kim, JH., Park, YS., Ahn, SH., Kim, SK. (2014). A Feature-Based Small Target Detection System. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_81
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DOI: https://doi.org/10.1007/978-3-642-40675-1_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
Online ISBN: 978-3-642-40675-1
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