中圖分類號： TP391.41 文獻標識碼： A DOI：10.16157/j.issn.0258-7998.211921 中文引用格式： 繆煒星，王小龍，李志勇，等. 基于機載SAR圖像的海面船只實時檢測分類應用架構[J].電子技術應用，2022，48(3)：113-117. 英文引用格式： Miao Weixing，Wang Xiaolong，Li Zhiyong，et al. Real-time ship detection and classification application framework based on airborne SAR image[J]. Application of Electronic Technique，2022，48(3)：113-117.
Real-time ship detection and classification application framework based on airborne SAR image
1.Gascoigne Company Limited，Aviation Industry Corporation of China，Chengdu 611730，China； 2.Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100190，China
Abstract： Synthetic aperture radar(SAR) is widely used in military-reconnaissance, ocean monitoring, disaster emergency assessment and other applications. Among them, ship detection and classification is an important ocean application. Due to the special imaging mechanism, the target features in SAR images are always changeable, which leads to the slow progress of target classification based on SAR images. In recent years, airborne SAR system has developed rapidly due to its real-time and convenience in deployment, and there is a strong demand for ship detection and classification based on airborne SAR images, especially for real-time detection and classification application. Focusing on this issue, a real-time application framework for ship detection and classification based on airborne SAR images is discussed and constructed, and the key processes and methods in engineering application are illustrated. In addition, its development trend combined with the artificial intelligence technology is also prospected.
Key words : airborne；synthetic aperture radar(SAR)；real-time；ship detection；ship classification
