کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6939314 | 1449970 | 2018 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust infrared small target detection using local steering kernel reconstruction
ترجمه فارسی عنوان
شناسایی هدف کوچک مادون قرمز با استفاده از بازسازی هسته فرماندهی محلی
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Because infrared small target detection plays a crucial role in infrared monitoring and early warning systems, it has been the subject of considerable research. Although many infrared small target detection approaches have been proposed, how to robustly detect small targets in poor quality infrared images remains a challenge. Since existing feature descriptors are often sensitive to the quality of infrared images, this paper advocates the use of a local steering kernel (LSK) to encode the infrared image patch because the LSK method can provide robust estimation of local intrinsic structure, even for poor quality images. Furthermore, this paper proposes a novel local adaptive contrast measure based on LSK reconstruction (LACM-LSK) for infrared small target detection. To demonstrate the effectiveness of the proposed approach, a diverse test dataset, including six infrared image sequences with different backgrounds, was collected. Extensive experiments on the test dataset confirm that the proposed infrared small target detection approach can achieve better detection performance than state-of-the-art approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 77, May 2018, Pages 113-125
Journal: Pattern Recognition - Volume 77, May 2018, Pages 113-125
نویسندگان
Yansheng Li, Yongjun Zhang,