@inproceedings{73fc77824af245b6b9e72746d49bc939,
title = "Infrared dim and small target detection based on spatio-temporal spectral saliency",
abstract = "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.",
keywords = "Human visual system, Infrared dim and small target detection, Pipeline filtering, Signal-clutter ratio, Spatio-temporal spectral saliency",
author = "Kai Zhang and Chenhui Li and Shaoyi Li and Xiaotian Wang and Saisai Niu",
note = "Publisher Copyright: {\textcopyright} 2019 The authors and IOS Press. All rights reserved.; 5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019 ; Conference date: 18-10-2019 Through 21-10-2019",
year = "2019",
month = oct,
day = "2",
doi = "10.3233/FAIA190292",
language = "英语",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "1118--1123",
editor = "Tallon-Ballesteros, \{Antonio J.\}",
booktitle = "Fuzzy Systems and Data Mining V - Proceedings of FSDM 2019",
}