Results 11 to 20 of about 703,662 (260)

CASP5 target classification [PDF]

Proteins: Structure, Function, and Genetics, 2003
This report summarizes the Critical Assessment of Protein Structure Prediction (CASP5) target proteins, which included 67 experimental models submitted from various structural genomics efforts and independent research groups. Throughout this special issue, CASP5 targets are referred to with the identification numbers T0129-T0195.
Kinch, Lisa N, Qi, Yuan, Hubbard, Tim J P, Grishin, Nick V   +3 more
openaire   +3 more sources

Simulation-assisted SAR Target Classification Based on Unsupervised Domain Adaptation and Model Interpretability Analysis

Leida xuebao, 2022
Convolutional Neural Networks (CNNs) are widely used in optical image classification. In the case of Synthetic Aperture Radar (SAR) images, obtaining sufficient training examples for CNNs is challenging due to the difficulties in and high cost of data ...
Xiaoling LYU, Xiaolan QIU, Wenming YU, Feng XU   +3 more
doaj   +1 more source

Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
It is known that a synthetic aperture radar (SAR) image obtained by matched filtering (MF)-based algorithms always suffers from serious noise, sidelobes, and clutters.
Jiarui Deng, Hui Bi, Jingjing Zhang, Zehao Liu, Lingjuan Yu   +4 more
doaj   +1 more source

Targeted Land-Cover Classification [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2014
This paper addresses a specific typology of land-cover classification problems, hereinafter referred to as “targeted land-cover classification,” where the objective is the identification of only one or few specific “targeted” land-cover classes of interest, disregarding all the other potential classes present in the area under analysis.
Marconcini, Mattia, Fernández-Prieto, Diego, Buchholz, Tim   +2 more
openaire   +1 more source

Multiview Low-Rank Hybrid Dilated Network for SAR Target Recognition Using Limited Training Samples

IEEE Access, 2020
Deep learning (DL) have been intensively exploited for synthetic aperture radar (SAR) target classification, and we have witnessed exciting performances provided by previous studies.
Zhaohui Xue, Mengxue Zhang
doaj   +1 more source

A Machine Learning Based Vehicle Classification in Forward Scattering Radar

IEEE Access, 2022
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree.
Mohammed E. A. Kanona, Mohamad Y. Alias, Mohamed Khalafalla Hassan, Khalid S. Mohamed, Mutaz H. H. Khairi, Mosab Hamdan, Yassin A. Hamdalla, Omnia M. Osman, Ahmed M. O. Ahmed   +8 more
doaj   +1 more source

Attribute-Guided Multi-Scale Prototypical Network for Few-Shot SAR Target Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Few-shot synthetic aperture radar (SAR) target classification has received more and more attention in recent years, where most of the existing methods have applied off-the-shelf networks designed for natural images to SAR images, ignoring the special ...
Siyuan Wang, Yinghua Wang, Hongwei Liu, Yuanshuang Sun   +3 more
doaj   +1 more source

Active Sonar Target Classification with Power-Normalized Cepstral Coefficients and Convolutional Neural Network

Applied Sciences, 2020
Detection and classification of unidentified underwater targets maneuvering in complex underwater environments are critical for active sonar systems.
Seungwoo Lee, Iksu Seo, Jongwon Seok, Yunsu Kim, Dong Seog Han   +4 more
doaj   +1 more source

Data augmentation and deep neural network classification based on ship radiated noise

Frontiers in Marine Science, 2023
IntroductionVarious types of ships sail at sea, and identifying maritime ship types through shipradiated noise is one of the tasks of ocean observation.
Zhuofan Xie, Zhuofan Xie, Zhuofan Xie, Rongbin Lin, Rongbin Lin, Rongbin Lin, Rongbin Lin, Lingzhe Wang, Anmin Zhang, Jiaqing Lin, Xiaoda Tang   +10 more
doaj   +1 more source

Point Cloud Data Processing Optimization in Spectral and Spatial Dimensions Based on Multispectral Lidar for Urban Single-Wood Extraction

ISPRS International Journal of Geo-Information, 2023
Lidar can effectively obtain three-dimensional information on ground objects. In recent years, lidar has developed rapidly from single-wavelength to multispectral hyperspectral imaging.
Shuo Shi, Xingtao Tang, Bowen Chen, Biwu Chen, Qian Xu, Sifu Bi, Wei Gong   +6 more
doaj   +1 more source