Open AccessShip detection and recognition combing one‐dimensional range profile with SAR image
Author(s) -
Li Yang,
Cheng Miaomiao,
Peng Xiangjun,
Zhuo Bangsheng,
Li Feng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0191
Subject(s) - artificial intelligence , synthetic aperture radar , combing , computer science , computer vision , pattern recognition (psychology) , dimension (graph theory) , automatic target recognition , classifier (uml) , range (aeronautics) , mathematics , engineering , geography , cartography , aerospace engineering , pure mathematics
Target detection and recognition are two important parts in image processing. As it is known to authors, target detection in synthetic aperture radar (SAR) image is usually processed on two‐dimension, which is more complex than one‐dimension. Here, the target detection in SAR image is achieved by two levels of one‐dimensional target detection. Then, the range profiles of the suspected targets are obtained while the target region is detected. Based on the obtained range profiles, features are extracted and the classifier is used to distinguish the targets and others. Finally, a method of target recognition based on mid‐level features is used here. Authors’ method is applied on SAR ship data and the result shows that authors’ proposed method works well on target detection.