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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karali, A.O. Aytac, T. Yildirim, A. Gerek, O.N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, İki Eylül Kampüsü, 26470, Eskişehir, Turkey (Gerek, O.N.) || TÜBİTAK BİLGEM UEK6AE/İLTAREN, Şehit Yzb. İlhan Tan Kışlası, 2432. cad., 2489. sok., 06800, Ümitköy, Ankara, Turkey (Karali, A.O.; Aytac, T.; Yildirim, A.) |
| Abstract | Automatic target detection algorithms enable in military and civilian applications the detection of low-contrast and spatially small targets that can not be detected by a human operator and remove the requirement of permanent operator control for surveillance systems. Considering many different background patterns and target models, it is not possible to define a single target detection algorithm that succeeds in all scenarios. In this paper, a novel target detection algorithm is proposed for targets above sea-level and sky targets. Peripheral anomaly values are calculated for image blocks depending on the difference of the statistical data between target and background patterns and target and background regions are differentiated by comparing these values with scenario dependent threshold values. Experimental results show that the proposed method has high success rate in the detection of targets above sea-level and sky targets in visual band images. |
| Starting Page | 138 |
| Ending Page | 141 |
| File Size | 1609568 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457704628 |
| e-ISBN | 9781457704635 |
| e-ISBN | 9781457704611 |
| DOI | 10.1109/SIU.2011.5929606 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-20 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Solid modeling Conferences Signal processing algorithms Object detection Signal processing Marine vehicles |
| Content Type | Text |
| Resource Type | Article |
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