Results 21 to 30 of about 105 (79)

Current Developments of Sparse Microwave Imaging

Leida xuebao, 2014
The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging.
Wu Yi-rong, Hong Wen, Zhang Bing-chen, Jiang Cheng-long, Zhang Zhe, Zhao Yao   +5 more
doaj   +1 more source

Advances in Information Extraction of Surface Parameters Using Tomographic SAR

Leida xuebao, 2021
Traditional Synthetic Aperture Radar (SAR) imaging is the projection of a real three-dimensional scene onto a two-dimensional domain of azimuth and slant range, which results in the loss of the high-dimensional information.
Zhen LI, Ping ZHANG, Haiwei QIAO, Changjun ZHAO, Jianmin ZHOU, Lei HUANG   +5 more
doaj   +1 more source

Fourfold Bounce Scattering-Based Reconstruction of Building Backs Using Airborne Array TomoSAR Point Clouds

Remote Sensing, 2022
Building reconstruction using high-resolution tomographic synthetic aperture radar (TomoSAR) point clouds has been very attractive in numerous applications, such as urban planning and dynamic city modeling.
Xiaowan Li, Fubo Zhang, Xingdong Liang, Yanlei Li, Qichang Guo, Yangliang Wan, Xiangxi Bu, Yunlong Liu   +7 more
doaj   +1 more source

Urban SAR Tomography With Z-Structure Constraint of Buildings

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar tomography (TomoSAR) technology effectively mitigates issues such as severe layover in high-resolution synthetic aperture radar (SAR) urban imagery, presenting numerous applications in reconstructing complex 3-D urban scenes ...
Rui Guo, Yuxin Gao, Zishuai Ren, Zhao Zhang, Jinwei Xie, Bei Yang   +5 more
doaj   +1 more source

Plug-and-Play tomographic SAR imaging based on BM4D

Dianzi Jishu Yingyong
Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced 3D remote sensing technology capable of enhancing imaging quality through the incorporation of prior models.
Wang Kun, Zhang Bingchen
doaj   +1 more source

Minimum Redundancy Array—A Baseline Optimization Strategy for Urban SAR Tomography

Remote Sensing, 2020
Synthetic aperture radar (SAR) tomography (TomoSAR) is able to separate multiple scatterers layovered inside the same resolution cell in high-resolution SAR images of urban scenarios, usually with a large number of orbits, making it an expensive and ...
Lianhuan Wei, Qiuyue Feng, Shanjun Liu, Christian Bignami, Cristiano Tolomei, Dong Zhao   +5 more
doaj   +1 more source

RECONSTRUCTION OF BUILDING FOOTPRINTS USING SPACEBORNE TOMOSAR POINT CLOUDS [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
This paper presents an approach that automatically (but parametrically) reconstructs 2-D/3-D building footprints using 3-D synthetic aperture radar (SAR) tomography (TomoSAR) point clouds.
M. Shahzad, X. X. Zhu
doaj   +1 more source

Tomographic SAR imaging via generative adversarial neural network with cascaded U‐Net architecture

Electronics Letters, Volume 60, Issue 17, September 2024.
This paper proposes a novel method based on deep learning, which is carried out and optimized in an end‐to‐end manner by the generative adversarial neural networks. The proposed method applies the cascaded U‐Net architectures to achieve the reconstruction of full‐channel synthetic aperture radar images and the refinement of obtained tomographic results,
Jie Li, Kun Wang, Zhiyuan Li, Bingchen Zhang, Yirong Wu   +4 more
wiley   +1 more source

Building point cloud reconstruction in TomoSAR based on deep learning semantic segmentation

Electronics Letters, Volume 60, Issue 12, June 2024.
In this letter, we propose an SAR building point cloud reconstruction method based on deep learning point cloud segmentation. Leveraging the end‐to‐end processing advantage of deep learning, this method achieves automated and efficient detection of building point clouds.
Minan Shi, Longyong Chen, Fubo Zhang, Wenjie Li, Chenghao Cui, Yuling Liu   +5 more
wiley   +1 more source

Spatial Shift Phenomenon Compensation for TomoSAR Imaging Using High-Resolution TerraSAR-X Data

IEEE Access, 2021
Massive high-resolution spaceborne synthetic aperture radar (SAR) data are available nowadays, effecting rapid development in the urban remote sensing technology.
Hui Liu, Ziye Guo, Lei Pang, Lei Zhang, Fang Li, Xiaoping Zhou, Weihong Sun   +6 more
doaj   +1 more source