D-ATR for SAR Images Based on Deep Neural Networks
Remote Sensing, 2019 Automatic target recognition (ATR) can obtain important information for target surveillance from Synthetic Aperture Radar (SAR) images. Thus, a direct automatic target recognition (D-ATR) method, based on a deep neural network (DNN), is proposed in this ...
Zongyong Cui +3 more
doaj +1 more source
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
Interactive ship segmentation in SAR images (SAR görüntülerinde etkileşimli gemi bölütleme) [PDF]
, 2013 Ship detection from synthetic aperture radar (SAR) images is important for various automatic target recognition (ATR) tasks. Although the ships in offshore areas can be easily detected, the ones near the shores or close to each other are difficult to ...
Akyılmaz, Emre +4 more
core +1 more source
Adversarial Deception Against SAR Target Recognition Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Synthetic aperture radar (SAR) automatic target recognition (ATR) technology is one of the key technologies to achieve intelligent interpretation for SAR images.
Fan Zhang +5 more
doaj +1 more source
Use of Automatic Target Recognition System for the Displacement Measurements in a Small Diameter Tunnel Ahead of the Face of the Motorway Tunnel During Excavation [PDF]
, 2008 During construction of the Sentvid tunnel a unique opportunity arose to measure the 3D displacements ahead of the motorway tunnel excavation face, since the exploratory tunnel was already constructed in the axis of the main tunnel.
Ambrožič, Tomaž +5 more
core +2 more sources
SAR ATR with full-angle data augmentation and feature polymerisation
The Journal of Engineering, 2019 Utilising neural networks to learn and extract valuable features has achieved satisfactory performance for synthetic aperture radar automatic target recognition (SAR ATR).
Yikui Zhai +10 more
doaj +1 more source
"Sticky Hands": learning and generalization for cooperative physical interactions with a humanoid robot [PDF]
, 2005 "Sticky Hands" is a physical game for two people involving gentle contact with the hands. The aim is to develop relaxed and elegant motion together, achieve physical sensitivity-improving reactions, and experience an interaction at an intimate yet ...
Hale, J.G., Pollick, F.E.
core +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Target Reconstruction Based on Attributed Scattering Centers with Application to Robust SAR ATR
Remote Sensing, 2018 This paper proposes a synthetic aperture radar (SAR) automatic target recognition (ATR) method by target reconstruction based on attributed scattering centers (ASCs).
Jihong Fan, Andrew Tomas
doaj +1 more source
Automatic Target Recognition (ATR) System using Recurrent Neural Network (RNN) for Pulse Radar
International Journal of Computer Applications, 2012 The most fundamental problem in radar is the detection of an object or a physical phenomenon. This requires proper discrimination between signal and noise content at the receiver even after the echo containing target information is surrounded by clutter.
Kandarpa Kumar Sarma +1 more
openaire +1 more source