Fast Detection of Distant, Infrared Targets in a Single Image Using Multiorder Directional Derivatives
| العنوان: | Fast Detection of Distant, Infrared Targets in a Single Image Using Multiorder Directional Derivatives |
|---|---|
| المؤلفون: | Xiangzhi Bai, Heng Sun, Junzhang Chen, Yanguang Bi |
| المصدر: | IEEE Transactions on Aerospace and Electronic Systems. 56:2422-2436 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 020301 aerospace & aeronautics, business.industry, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Aerospace Engineering, Pattern recognition, 02 engineering and technology, Derivative, Directional derivative, Tracking (particle physics), Object detection, Convolution, Image (mathematics), 0203 mechanical engineering, Clutter, Artificial intelligence, Electrical and Electronic Engineering, business, Optical filter |
| الوصف: | The fast and robust detection of far targets is one of the key techniques in infrared searching and tracking applications. Using multiorder directional derivatives, an effective and concise detection method performed on a single IR image is proposed in this article. First, multiorder directional derivatives of an image are derived from the facet model. According to the derivative characteristics of small targets, enhancement filters are designed to maximize the target components. Convolved with these filters, the small targets are enhanced and the backgrounds are suppressed in each derivative subband. The final result is obtained by fusing all these filtered derivative subbands. The experimental results demonstrate that the proposed method consistently achieves a robust and effective performance on all datasets. In addition, the low computational complexity makes the proposed method suitable for real time detection purpose. |
| تدمد: | 2371-9877 0018-9251 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::dee3a4de241bbc40db9e6d0a64797134Test https://doi.org/10.1109/taes.2019.2946678Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........dee3a4de241bbc40db9e6d0a64797134 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23719877 00189251 |
|---|