As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Infrared dim and small target detection plays a critical role in space-based infrared system and infrared search and track applications. Inspired by the visual saliency of human beings, the present study proposes an infrared dim and small target detection method based on the spatio-temporal and spectral saliency. In this regards, the 2D-DoG filter is initially applied to preprocess the image. Then, four data channels of quaternion are constructed through contrast measurement, velocity estimation and the direction feature extraction so that the saliency detection in the frequency domain is completed. Finally, considering the motion characteristics of the target, the false alarm rate is reduced by multi-frame confirmation of the pipeline filtering. Experimental results show that the proposed method can achieve stable and continuous target detection for different backgrounds.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.