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Effective Small Dim Target Detection by Local Connectedness Constraint

Keren Fu (Institutionen för signaler och system, Signalbehandling) ; K Xie ; C Gong ; Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling) ; Jie Yang
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014; Florence; Italy; 4 May 2014 through 9 May 2014 p. 8110-8114. (2014)
[Konferensbidrag, refereegranskat]

The main drawback of conventional filtering based methods for small dim target (SDT) detection is they could not guarantee sufficient suppression ability towards trivial high frequency component which belongs to background, such as strong corners and edges. To overcome this bottleneck, this paper proposes an effective SDT detection algorithm by using local connectedness constraint. Our method provides direct control for target size, ensure high accuracy and could be easily embedded into the classical sliding-window based framework. The effectiveness of the proposed method is validated using images with cluttered background.

Nyckelord: Small dim target detection, Connectedness constraint, Region growing, Sliding window


Article number 6855181



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Denna post skapades 2014-05-14. Senast ändrad 2014-08-22.
CPL Pubid: 198046

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)

Ämnesområden

Informations- och kommunikationsteknik
Informationsbehandling
Bildanalys
Signalbehandling

Chalmers infrastruktur