Results 61 to 70 of about 15,887 (242)

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

Imaging Method for Co-prime-sampling Space-borne SAR Based on 2D Sparse-signal Reconstruction

Leida xuebao, 2020
Co-prime-sampling space-borne Synthetic Aperture Radar (SAR) replaces the traditional uniform sampling by performing co-prime sampling in azimuth, which effectively alleviates the conflict between spatial resolution and effective swath width, while also
ZHAO Wanwan, WANG Pengbo, MEN Zhirong, LI Chunsheng   +3 more
doaj   +1 more source

CNN-Based Target Detection and Classification When Sparse SAR Image Dataset is Available

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Synthetic aperture radar (SAR) is an earth observation technology that can obtain high-resolution image in all-weather and all-time conditions, and hence, has been widely used in civil and military applications.
Hui Bi, Jiarui Deng, Tianwen Yang, Jian Wang, Ling Wang   +4 more
doaj   +1 more source

Parameter selection in sparsity-driven SAR imaging [PDF]

, 2009
We consider a recently developed sparsity-driven synthetic aperture radar (SAR) imaging approach which can produce superresolution, feature-enhanced images.
Batu, Ozge, Batu, Özge, Cetin, Mujdat, Çetin, Müjdat   +3 more
core   +2 more sources

Near-Field High-Resolution SAR Imaging with Sparse Sampling Interval

Sensors, 2022
Near-field high-resolution synthetic aperture radar (SAR) imaging is mostly accompanied by a large number of data acquisition processes, which increases the system complexity and device cost. According to extensive reports, reducing the number of sampling points of a radar in space can greatly reduce the amount of data.
Chengyi Zhao, Leijun Xu, Xue Bai, Jianfeng Chen   +3 more
openaire   +3 more sources

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Deep Learning-Based Approximated Observation Sparse SAR Imaging via Complex-Valued Convolutional Neural Network

Remote Sensing
Sparse synthetic aperture radar (SAR) imaging has demonstrated excellent potential in image quality improvement and data compression. However, conventional observation matrix-based methods suffer from high computational overhead, which is hard to use for
Zhongyuan Ji, Lingyu Li, Hui Bi
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

Ship Wake Detection in SAR Images via Sparse Regularization [PDF]

, 2019
In order to analyse synthetic aperture radar (SAR) images of the sea surface, ship wake detection is essential for extracting information on the wake generating vessels.
Achim, Alin, Karakuş, Oktay, Rizaev, Igor   +2 more
core   +4 more sources

SAR image denoising method based on sparse representation

The Journal of Engineering, 2019
The coherent nature of radar illumination causes the speckle effect, which gives the synthetic aperture radar (SAR) image its noisy appearance. The probability distribution of speckle noise is multiplicative rather than additive, which makes the interpretation and processing of SAR imagery more difficult. A novel SAR image denoising method is proposed.
Hao-Tian Zhou, Liang Chen, Bo Fu, Hao Shi   +3 more
openaire   +2 more sources