Results 71 to 80 of about 48,067 (197)

Performance Analysis of Classification Algorithms for Activity Recognition using Micro-Doppler Feature [PDF]

, 2018
Classification of different human activities using micro-Doppler data and features is considered in this study, focusing on the distinction between walking and running.
Le Kernec, Julien, Lin, Yier
core   +1 more source

Automatic target recognition of synthetic aperture radar (SAR) images based on optimal selection of Zernike moments features

IET Computer Vision, 2014
In the present study, a new algorithm for automatic target detection (ATR) in synthetic aperture radar (SAR) images has been proposed. First, moving and stationary target acquisition and recognition image chips have been segmented and then passed to a ...
Mehdi Amoon, Gholam‐ali Rezai‐rad
doaj   +1 more source

Threshold Determination for ARTMAP-FD Familiarity Discrimination [PDF]

, 1997
The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered during training).
Carpenter, Gail A., Rubin, Mark A., Streilein, William W.   +2 more
core   +1 more source

Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors

, 2015
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC).
Dao, Minh, Monga, Vishal, Mousavi, Hojjat Seyed, Srinivas, Umamahesh, Suo, Yuanming, Tran, Trac. D.   +5 more
core   +1 more source

Analysis of Radar Doppler Signature from Human Data [PDF]

, 2014
This paper presents the results of time (autocorrelation) and time-frequency (spectrogram) analyses of radar signals returned from the moving human targets.
Andrić, M., Bondzulić, B., Bujaković, D., Simić, S., Zrnić, B.   +4 more
core   +1 more source

Polarised HRRP scattering centre estimation via atomic norm minimisation

The Journal of Engineering, 2019
The combination of polarisation and high-resolution technology is a promising research direction for radar automatic target recognition. Fusing the polarisation information into the scattering centre model is able to refine the scattering structural ...
Haibo Liu, Ying Xi, Yanhua Wang, Yang Li, Tong Zhao   +4 more
doaj   +1 more source

Radar HRRP Feature Fusion Recognition Method Based on ConvLSTM Network with Multi-Input Gate Recurrent Unit

Remote Sensing
Recently, the radar high-resolution range profiles (HRRPs) have gained significant attention in the field of radar automatic target recognition due to their advantages of being easy to acquire, having a small data footprint, and providing rich target ...
Wei Yang, Tianqi Chen, Shiwen Lei, Zhiqin Zhao, Haoquan Hu, Jun Hu   +5 more
doaj   +1 more source

Familiarity Discrimination of Radar Pulses [PDF]

, 1998
The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered during training).
Granger, Eric, Grossberg, Stephen, Rubin, Mark, Streilein, William   +3 more
core   +1 more source

A Residual Optronic Convolutional Neural Network for SAR Target Recognition

Photonics
Deep learning (DL) has shown great capability in remote sensing and automatic target recognition (ATR). However, huge computational costs and power consumption are challenging the development of current DL methods.
Ziyu Gu, Zicheng Huang, Xiaotian Lu, Hongjie Zhang, Hui Kuang   +4 more
doaj   +1 more source

Ship target recognition based on superstructure matching [PDF]

E3S Web of Conferences
The Automatic Target Recognition(ATR) of ship targets based on Inverse Synthetic Aperture Radar(ISAR) images plays a significant role in naval warfare.To address the issue that existing superstructure-based recognition methods do not fully use ...
Deng Jie, Su Fulin
doaj   +1 more source