High Resolution Range Profile Sequence Recognition Based on ARTRBM

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Radar Target Recognition Based on Parameterized High Resolution Range Profiles

A new scheme of radar target recognition based on parameterized high resolution range profiles (PHRRP) is presented in this paper. A novel criterion called generalizedweighted-normalized correlation (GWNC) is proposed for measuring the similarity between PHRRP’s. By properly choosing the parameter of the mainlobe width in GWNC, aspect sensitivity of PHRRP’s can be reduced without sacrificing th...

متن کامل

High resolution range profile based extraction of radar target length

Radar target identification using high resolution range profile (HRRP), the target length is an important feature due to that it can reduce the time of identification and mitigate noise redundancy. Traditional threshold methods with the different operators are highly sensitive to noise. In this paper, we proposed an adaptive difference operator for target length feature extraction from HRRP. Ex...

متن کامل

An Adaptive Feature Learning Model for Sequential Radar High Resolution Range Profile Recognition

This paper proposes a new feature learning method for the recognition of radar high resolution range profile (HRRP) sequences. HRRPs from a period of continuous changing aspect angles are jointly modeled and discriminated by a single model named the discriminative infinite restricted Boltzmann machine (Dis-iRBM). Compared with the commonly used hidden Markov model (HMM)-based recognition method...

متن کامل

An Efficient Kernel Optimization Method for Radar High-Resolution Range Profile Recognition

A kernel optimization method based on fusion kernel for high-resolution range profile (HRRP) is proposed in this paper. Based on the fusion of l1-norm and l2-normGaussian kernels, our method combines the different characteristics of them so that not only is the kernel function optimized but also the speckle fluctuations of HRRP are restrained. Then the proposed method is employed to optimize th...

متن کامل

Object Recognition Based on High Spatial Resolution Panchromatic Satellite Imagery

This paper presents two concepts for the detection of different objects from high spatial resolution satellite imagery like MOMS-02. The first method is a supervised image segmentation technique which allows a target oriented search for smaller objects. Based on the variation of threshold parameters, different regions are formed by pixel aggregation and selected by a shape classification using ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: DEStech Transactions on Computer Science and Engineering

سال: 2018

ISSN: 2475-8841

DOI: 10.12783/dtcse/cnai2018/24132