Results 51 to 60 of about 1,891 (207)

Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder

Leida xuebao, 2013
Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) image is investigated. A SAR feature extraction algorithm based on multilayer auto-encoder is proposed.
Sun Zhi-jun, Xue Lei, Xu Yang-ming, Sun Zhi-yong   +3 more
doaj   +1 more source

Feature Learning for SAR Target Recognition with Unknown Classes by Using CVAE-GAN

Remote Sensing, 2021
Even though deep learning (DL) has achieved excellent results on some public data sets for synthetic aperture radar (SAR) automatic target recognition(ATR), several problems exist at present.
Xiaowei Hu, Weike Feng, Yiduo Guo, Qiang Wang   +3 more
doaj   +1 more source

Ultrasound‐Activated Bifunctional Piezoelectric Hydrogel Dressings Promote Infected Wound Healing via Regulating Angiogenesis and Lymphangiogenesis

Advanced Science, EarlyView.
This study developed a double‐network hydrogel with piezoelectric properties, exhibiting excellent antibacterial activity and promoting fibroblast migration, angiogenesis, and lymphangiogenesis through piezoelectric stimulation, thereby accelerating the healing of infected chronic wounds.
Xiang Li, Zhen Ding, Zhihua Liu, Hao Chen, Jianyang Shan, Yanxuan Shao, Yaling Yu, Gen Wen   +7 more
wiley   +1 more source

Radar ATR of maritime targets'

, 2022
S.77 ...
Schimpf, Hartmut
core  

Automatic Target Recognition Employing Signal Compression

, 2007
Quadratic correlation filters (QCFs) have been used successfully to detect and recognize targets embedded in background clutter. Recently, a QCF called the Rayleigh quotient quadratic correlation filter (RQQCF) was formulated for automatic target ...
Muise, Robert R., Mahalanobis, Abhijit, Ragothaman, Pradeep, Mikhael, Wasfy B.   +3 more
core   +2 more sources

V2CTx MXene as a Sacrificial Promoter for NiFe Catalyst for Anion Exchange Membrane Electrolyzers

Advanced Science, EarlyView.
These findings demonstrate that V2CTx functions beyond passive conductive support as an active electronic participant whose structural legacy sustains durable performance even after vanadium leaching in Anion Exchange Membrane (AEM) Electrolysers. ABSTRACT Nickel‐iron layered double hydroxides (NiFe‐LDH) show excellent activity, their poor conductivity
Bastian Schmiedecke, Can Kaplan, Karuppasamy Dharmaraj, Axel Zuber, Merve Buldu‐Aktürk, Ningjun Chen, Mailis Lounasvuori, Xuyun Guo, Valeria Nicolosi, Thorsten Schultz, Norbert Koch, Johanna Rosen, Michelle P. Browne   +12 more
wiley   +1 more source

Adaptive texture representation methods for automatic target recognition

, 1999
Automatic Target Recognition (ATR) is a demanding application that re-quires separation of targets from a noisy background in a sequence of im-ages. In this paper, two adaptive methods for describing such a background are proposed which are based on ...
K. Messer, J. Kittler, D. de Ridder, D. De Riddery   +3 more
core   +1 more source

Quantifying Structure–Property Relationships in Ferroelectric Polymers Toward High‐Performance Soft Robots

Advanced Science, EarlyView.
Here, we establish a quantitative relationship between the electrostriction coefficient (Q33) of FRPs and their interplanar spacing (d): Q33 = 100(Δd/d0+1) × Q33(s). Using this model, we fabricated high‐performance soft robots, including a biomimetic crawler (with a speed of 27 cm/s) and a butterfly (with a thrust‐to‐weight ratio of 0.71).
Ba Qin, Guotong Ding, Wanli Xing, Xiaoyu Yang, Wenxuan Li, Zhemin Chen, Shaobo Tan, Xiaoyong Wei, Zhicheng Zhang   +8 more
wiley   +1 more source

Hierarchical Fusion of Convolutional Neural Networks and 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 via hierarchical fusion of two classification schemes, i.e., convolutional neural networks (CNN) and attributed scattering center (ASC) matching.
Chuanjin Jiang, Yuan Zhou
doaj   +1 more source

FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model

Advanced Science, EarlyView.
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble, Wiktor Zywicki, Enrico Lucarelli, Ania Naila Guerrieri, Francesca Taraballi, Gianluca Cidonio, Claudia Di Bella, Carmine Onofrillo, Andrea J. O'Connor, Serena Duchi   +9 more
wiley   +1 more source