Results 101 to 110 of about 11,848 (250)

Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

Remote Sensing, 2018
This paper presents a novel double weight-based synthetic aperture radar (SAR) and infrared (IR) sensor fusion method (DW-SIF) for automatic ground target recognition (ATR).
Sungho Kim, Woo-Jin Song, So-Hyun Kim
doaj   +1 more source

Electride‐Induced Electronic Modulation of Ruthenium Catalyst for Highly Efficient Alkaline Hydrogen Evolution

Advanced Science, EarlyView.
Electrides offer unique opportunities as catalyst supports for hydrogen evolution reactions. This study presents an electride‐supported Ru/Nd2ScSi2 catalyst exhibiting outstanding hydrogen evolution reaction performance and excellent stability. Anionic Ru species on the electride surface facilitate water dissociation and optimize hydrogen adsorption ...
Zhiqi Wang, Jianan Su, Cheng Li, Yutong Gong, Hideo Hosono, Junjie Wang   +5 more
wiley   +1 more source

Few-Shot SAR Target Recognition via Causal Inference and Deep Metric Learning

IEEE Access
Deep learning, with large-scale annotated datasets, has demonstrated remarkable success in synthetic aperture radar automatic target recognition (SAR-ATR).
Ke Wang, Yuqian Mao, Qi Qiao
doaj   +1 more source

Target Recognition of Synthetic Aperture Radar Images Based on Matching and Similarity Evaluation Between Binary Regions

IEEE Access, 2019
This work uses the binary target region for synthetic aperture radar (SAR) automatic target recognition (ATR). Due to the differences of physical sizes and target shapes, the region residuals among the same classes and those between different targets are
Cuiping Shi, Fengjuan Miao, Zhan Jin, Ying Xia   +3 more
doaj   +1 more source

Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition [PDF]

, 2004
Neural networks are found to be attractive trainable machines for pattern recognition. The capability of these models to accommodate wide variety and variability of conditions, and the ability to imitate brain functions, make them popular research ...
Ali Adlan, Hanan Hassan
core  

Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations

, 2017
Sparsity-regularized synthetic aperture radar (SAR) imaging framework has shown its remarkable performance to generate a feature enhanced high resolution image, in which a sparsity-inducing regularizer is involved by exploiting the sparsity priors of ...
Hou, Biao, Jiao, Licheng, Wen, Zaidao, Wu, Qian   +3 more
core   +1 more source

Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis

Advanced Energy Materials, EarlyView.
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao, Mengfang Liang, Xiaotong Han, Xu Yu, Huan Pang, Ho Seok Park   +5 more
wiley   +1 more source

ARTMAP-FTR: A Neural Network for Object Recognition Through Sonar on a Mobile Robot [PDF]

, 1998
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A., Gaudiano, Paolo, Streilein, William W.   +2 more
core   +1 more source

A “Two‐Pronged” Strategy Boosting the Activity and Stability of Nickel–Iron Catalysts Toward Anion Exchange Membrane Water Electrolysis

Carbon Energy, EarlyView.
A “two‐pronged” strategy has been developed to construct a substrate‐strengthened, organophosphorus‐protected nickel‐iron electrode for efficient and robust OER electrocatalysis. Owing to the reinforced catalyst–substrate interaction and minimized active site loss by organophosphorus protection, the integrated electrode serves as an robust and ...
Yansong Zhou, Tianze Xu, Tianyu Qiu, Zhitong Wang, Zhuming Mao, Yanjing Liu, Bingqian Pang, Yina Guo, Tianyang Liu, Xianlong Zhou, Qiongrong Ou, Xinlong Tian, Shuyu Zhang   +12 more
wiley   +1 more source

Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Recent studies have utilized deep learning (DL) techniques to automatically extract features from synthetic aperture radar (SAR) images, which shows great promise for enhancing the performance of SAR automatic target recognition (ATR).
Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Ruiheng Zhang, Lamei Zhang   +5 more
doaj   +1 more source