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Classifying HRRP by AdaBoostSVM

2008 9th International Conference on Signal Processing, 2008
Radar target identification by using high resolution range profile (HRRP) have been studied extensively. Effective way of HRRP classification by support vector machine (SVM) was studied in this paper. In order to improve the classification performance of SVM, the approach of improving the classification performance of AdaBoostSVM was studied.
Chongming Wu   +2 more
openaire   +1 more source

Support vector machine for HRRP classification

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
Radar target identification schemes by using high resolution range profile(HRRP) as features have been studied extensively. In practical systems we usually have only a very limited amount of training data. Therefore how to train a classifier with good generalization performance based on the training set is obviously a challenging task.
Xiao-dan Wang, Ji-qin Wang
openaire   +1 more source

HRRP recognition in radar sensor network

Ad Hoc Networks, 2017
Abstract In this paper, several high-resolution range profile (HRRP) recognition approaches in radar sensor network (RSN) are investigated. First, we study HRRP target recognition in a radar. A decision rule based on the minimum resistor-average (MRA) distance criterion is established for HRRP sequence recognition.
Chengchen Mao, Jing Liang 0002
openaire   +1 more source

Polarimetric HRRP Target Recognition Based on Convlstm

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The high resolution range profiles (HRRPs) of different polarimetric channels can enhance the recognition performance. Few existing methods focus on combining the structure information with correlation between different polarimetric channels. In this paper, we applied ConvLSTM to polarimetric HRRP target recognition. ConvLSTM can be used to combine the
Wei Chen   +4 more
openaire   +1 more source

A Hierarchical Network (HRRP(k)) and Its Application

2010 IEEE Asia-Pacific Services Computing Conference, 2010
This paper is concerned with the problem of how to share distributed resources. Based on a distributed resource sharing application in schools, an HRRP(k) network is proposed and its properties studied. It is proven that the HRRP(k) network has better performance than a 2-D mesh in group communication.
Fang-Ai Liu, Chang-Ming Xing
openaire   +1 more source

A hierarchical HRRP(k) network and its application

Peer-to-Peer Networking and Applications, 2014
This paper is concerned with the problem of how to share distributed resources. As an application of distributed resource sharing in schools, a peer-to-peer network model (HRRP(k)) is proposed and its properties are studied. It is proven that HRRP(k) network has better performance than a 2-D mesh in group communication.
Fangai Liu, Tianlai Li, Changming Xing
openaire   +1 more source

Recognition-Aware HRRP Generation With Generative Adversarial Network

IEEE Geoscience and Remote Sensing Letters, 2022
Existing works on radar high-resolution range profile (HRRP) recognition commonly focus on utilizing data and various deep learning models in achieving high classification accuracy. However, in practical applications, it is often difficult to obtain HRRP signals, especially for noncooperative targets.
Yue Huang 0001   +3 more
openaire   +1 more source

Aircraft HRRP classification based on RBFNN

2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002
We present a classification scheme based on a new kind of RBFNN (radial basis function neural network) whose structure is similar to that of AWNN (adaptive wavelet neural network). To be more suitable for HRRP (high resolution range profile) classification, this kind of RBFNN substitutes wavelet basis functions in AWNN with Gaussian basis functions. In
null Li Ying   +3 more
openaire   +1 more source

An algorithm based on HRRP for target recognition

2011 International Conference on Image Analysis and Signal Processing, 2011
Based on the scattering center model, the dissertation makes detailed analysis on the physical property of HRRP samples and points out the HRRP sensitivity of target-aspect. The average HRRP for feature extraction is presented in a small target-aspect after the HRRP preprocessing methods are discussed, and experiment results based on the SVM classifier
null Li Min Shen, null Yan Zhou Ma
openaire   +1 more source

Multi-polarized HRRP Classification by SVM Ensemble

2012
A high range resolution profile (HRRP) is a good characteristic for radar target, and radar target recognition by using HRRP has been studied extensively. Target recognition by fusion the target features of multiple polarimetric directions is studied in this paper, the framework of multi-polarized HRRP classification by SVM ensemble is given, and a ...
Xiaodan Wang   +3 more
openaire   +1 more source

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