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- Title
Dim Target Detection in Infrared Images Using Saliency Algorithms.
- Authors
TUNC, Seyit; ILGIN, Hakki Alparslan
- Abstract
Infrared (IR) target detection and tracking are commonly used in modern defense systems. Target detection is the first and very important step for several surveillance applications. Long distance between imager and targets or bad weather conditions mostly cause dim target appearance with low signal-to-noise ratio (SNR) in IR images. In this study, dim targets in IR images are enhanced and detected using saliency detection algorithms, which have not been used in IR wavelength before. Performances of the algorithms are evaluated on common IR datasets. Algorithms are compared in terms of SNR, receiver operating characteristic (ROC) and area under curve (AUC) score. Effects of parameter selection are also considered for automatic target detection. Furthermore, feasibility of the methods for real-time applications are discussed.
- Subjects
INFRARED imaging; RECEIVER operating characteristic curves; TRACKING algorithms; SIGNAL-to-noise ratio; ALGORITHMS; WEATHER
- Publication
Radioengineering, 2019, Vol 28, Issue 3, p635
- ISSN
1210-2512
- Publication type
Article
- DOI
10.13164/re.2019.0635