کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4947661 1439593 2017 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
SAR target configuration recognition based on the biologically inspired model
ترجمه فارسی عنوان
شناسایی پیک هدف بر اساس مدل الهام گرفته از زیست شناسی است
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
How to extract proper features is very important for synthetic aperture radar (SAR) target configuration recognition. However, most of feature extraction methods are hand-designed and usually can not achieve a satisfactory performance. In this paper, we propose a novel method based on the biologically inspired model to extract features automatically from limited data. Specifically, we learn episodic features (containing the key components and their spatial relations) and semantic features (i.e., semantic descriptions of the key components) which are two important types of features for the human cognition process. Episode features are learned through a deep neural network (DNN) and then semantic geometric features of the key components are defined. Moreover, SAR images are very sensitive to aspect angles. Therefore, we use episode features to estimate aspect angles of testing samples for the final recognition. This paper is a preliminary study and the preliminary experimental results on the moving and stationary target automatic recognition (MSTAR) database demonstrate the effectiveness of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 234, 19 April 2017, Pages 185-191
نویسندگان
, , , , ,