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Multi-Block Mixed Sample Semi-Supervised Learning for SAR Target Recognition
Remote Sensing, 2021 In recent years, synthetic aperture radar (SAR) automatic target recognition has played a crucial role in multiple fields and has received widespread attention.
Ye Tian +4 more
doaj +1 more source
A New MCMC Sampling Based Segment Model for Radar Target Recognition [PDF]
, 2015 One of the main tools in radar target recognition is high resolution range profile (HRRP). However, it is very sensitive to the aspect angle. One solution to this problem is to assume the consecutive samples of HRRP identically independently ...
Hadavi, M., Nayebi, M. M., Radmard, M.
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An Approach to Automatic Target Recognition in Radar Images Using SVM [PDF]
, 2006 This paper introduces an Automatic Target Recognition (ATR) method based on X Band Radar image processing. A software which implements this method was developed following four principal stages: digital image formation, image preprocessing, feature selection through a combination of C4.5 Decision Tree and PCA and classification using SVM.
Noslén Hernández-González +5 more
openaire +1 more source
Near-Surface Interface Detection for Coal Mining Applications Using Bispectral Features and GPR [PDF]
, 2005 The use of ground penetrating radar (GPR) for detecting the presence of near-surface interfaces is a scenario of special interest to the underground coal mining industry.
A. Merwe van der +30 more
core +3 more sources
Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
core +1 more source
Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
Sensors, 2013 This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo +5 more
doaj +1 more source
SARCASTIC v2.0—High-Performance SAR Simulation for Next-Generation ATR Systems
Remote Sensing, 2022 Synthetic aperture radar has been a mainstay of the remote sensing field for many years, with a wide range of applications across both civilian and military contexts.
Michael Woollard +3 more
doaj +1 more source
Automatic and semi-automatic extraction of curvilinear features from SAR images [PDF]
, 2012 Extraction of curvilinear features from synthetic aperture radar (SAR) images is important for automatic recognition of various targets, such as fences, surrounding the buildings.
Akyılmaz, Emre +5 more
core +1 more source
Leida xuebao, 2015 Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the ...
Xiang Yin, Zhang Kai, Hu Cheng
doaj +1 more source
A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures [PDF]
, 1991 A neural network model, called an FBF network, is proposed for automatic parallel separation of multiple image figures from each other and their backgrounds in noisy grayscale or multi-colored images.
Grossbergy, Stephen, Wyse, Lonce
core +2 more sources