Results 141 to 150 of about 1,079 (177)

Distributed Spaceborne Tomosar Formation Configuration Optimization Method Based On NSGA-II

IEEE International Geoscience and Remote Sensing Symposium
This paper presents a distributed spaceborne To-moSAR formation configuration optimization method based on NSGA-II. The method mainly consists of three parts: distributed spaceborne TomoSAR model, formation configuration optimization model, and NSGA-II ...
Jie Li, Xiaowei Zhang, Hao Zhang, Tao Lai, Qingsong Wang, Haifeng Huang   +5 more
semanticscholar   +1 more source

A Generative Approach for Self-Supervised TomoSAR Multidimensional Imaging

IEEE International Geoscience and Remote Sensing Symposium
Tomographic synthetic aperture radar (tomoSAR) enables effective 3D mapping of urban buildings. Recently, researchers have leveraged data-driven deep learning for tomoSAR imaging to extract scene priors.
Liang Liu, Tianjiao Zeng, Mou Wang, Jun Shi, Shunjun Wei, Xiaoling Zhang, Xu Zhan   +6 more
semanticscholar   +1 more source

3D Reconstruction in Mountain Area for Array TomoSAR

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Array Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technique with elevation resolution through acquiring images from different angles. Due to the special single-pass mode, there is no temporal decorrelation caused by revisit time between multiple images.
Xiaowan Li, Xingdong Liang, Fubo Zhang
openaire   +1 more source

Robust Unsupervised TomoSAR Reconstruction via Range-Null-Raw Space Learning

International Radar Conference
High-fidelity 3D reconstruction of urban areas using tomographic synthetic aperture radar (TomoSAR) remains challenging, particularly with limited and noisy measurements.
Yu Ren, Xu Zhan, Tianjiao Zeng, Mou Wang, Jun Shi, Shunjun Wei, Xiaoling Zhang   +6 more
semanticscholar   +1 more source

Method of Refined Facade Model Extraction Based on TOMOSAR Point Cloud

IEEE International Conference on Signal and Image Processing
Building group models can be extracted from urban area TomoSAR point clouds, which can be used in important fields such as urban planning and map surveying.
Haoyuan Chen, Wenkang Liu, Mengdao Xing
semanticscholar   +1 more source

Urban height change detection using a TomoSAR linear prediction-based method

International Journal of Remote Sensing
Today, SAR Tomography (TomoSAR) is considered a powerful tool for object 3-D reconstruction, specifically in urban-built environments with lots of details.
Hossein Armeshi, M. Sahebi, H. Aghababaei   +2 more
semanticscholar   +1 more source

A Novel Tomosar Processing Framework with Range Index Constraint

IEEE International Geoscience and Remote Sensing Symposium
Conventional TomoSAR 3D imaging techniques estimate scatterer positions solely based on the amplitude and phase information of a well pre-processed SAR image stack, overlooking the relationship between the scatterer’s slant range to the antenna phase ...
Qiancheng Yan, Zekun Jiao, Xiaolan Qiu, Chibiao Ding   +3 more
semanticscholar   +1 more source

Preliminary Results of Urban TomoSAR Based on Hongtu-1 Constellation

IEEE International Geoscience and Remote Sensing Symposium
The traditional spaceborne Synthetic Aperture Radar Tomography (TomoSAR) based on repeat-pass observation faces challenges in 3D (three-dimensional) reconstruction due to atmospheric phase screens.
Qianning Yuan, Xiaolan Qiu, Zekun Jiao, Ke Wang, Chibiao Ding   +4 more
semanticscholar   +1 more source

Assessing the Performance of GEDI and TomoSAR for High-Resolution Forest Vertical Structure Mapping in Temperate Ecosystems

IEEE International Geoscience and Remote Sensing Symposium
Exploring vertical forest structures using remote sensing presents challenges, but recent technologies like NASA’s GEDI waveform LiDAR and ESA’s future TomoSAR offer promising solutions.
D. H. Tong Minh, Y-N Ngo, L. Ferro-Famil, N. Baghdadi, S. Tebaldini, I. Fayad, Y. Huang, T. Le Toan   +7 more
semanticscholar   +1 more source

Multistatic TomoSAR 3-D Imaging Technique via Matrix Completion for Structured Targets

IEEE Transactions on Geoscience and Remote Sensing
Multistatic 3-D synthetic aperture radar (3D SAR) has shown significant potential in rapid 3-D imaging. Compared to traditional multipass or array 3-D imaging systems, it achieves high-resolution imaging in a single pass. However, due to the introduction
Chaodong Wang, Zhongyu Li, Yu Hai, Hongyang An, Junjie Wu, Jianyu Yang   +5 more
semanticscholar   +1 more source