Results 151 to 160 of about 1,079 (177)

Robust Height Reconstruction of Buildings Based on Esprit-Tomosar

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
TomoSAR is one of the methods which can perform three-dimensional (3-D) imaging with multiple SAR datasets by using Direction-of-Arrival (DOA) estimation techniques to reveal height distribution of scatterers. However, resolution of the TomoSAR is generally insufficient for height estimation of small objects on the ground surface.
Masanori Gocho, Hiroyoshi Yamada, Yoshio Yamaguchi, Ryoichi Sato, Shoichiro Kojima, Motofumi Arii   +5 more
openaire   +1 more source

An Advanced Approach for Understory Terrain Extraction Utilizing TomoSAR and MCSF Algorithm

IEEE Geoscience and Remote Sensing Letters
The understory terrain is an essential component of forest vertical structure and ecosystem health, providing crucial insights for resource assessment and forestry surveys.
Xi Bin, Zhang Yu, Wenmei Li, Zhao Lei, Kunpeng Xu, Yunmei Ma, Yuhong He   +6 more
semanticscholar   +1 more source

Multi-Master TomoSAR 3-D Imaging: Theoretical Complement and Performance Extension

IEEE Transactions on Geoscience and Remote Sensing
Tomographic synthetic aperture radar (TomoSAR), as a 3-D imaging technique, is widely applied in urban mapping. In our previous work, a multi-master (MM) TomoSAR approach was proposed for the long-baseline observation configuration.
Zegang Ding, Jian Zhao, Zhen Wang, Tao Sun, Zehua Dong, Yan Wang, Tao Zeng   +6 more
semanticscholar   +1 more source

Estimation Of Structured Covariance Matrices For Tomosar Focusing

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Martin del Campo Becerra, Gustavo Daniel, Torres García, Eduardo, Nannini, Matteo, Reigber, Andreas, Torres Román, Deni Librado   +4 more
openaire   +1 more source

TomoSAR Three-Dimensional Image Restoration in Urban Area by Multipath Exploitation

IEEE International Geoscience and Remote Sensing Symposium
SAR Tomography can provide three-dimensional (3D) image of the observed scenes, becoming an important technology for urban mapping, target detecting and many other fields. When imaging urban scenes, multipath signals are always considered as noise in the
Yuqing Lin, Xiaolan Qiu, C. Ding
semanticscholar   +1 more source

A 3D Reconstruction Method of Mountain Areas for TomoSAR

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technique which allows to achieve 3D reconstruction of interested areas, such as man-made buildings, mountain areas, and other topographic features. However, up to now there exist few researches about 3D reconstruction of mountain areas using TomoSAR.
Xiaowan Li, Xingdong Liang, Fubo Zhang, Xiangxi Bu, Yangliang Wan   +4 more
openaire   +1 more source

Morphology Regularization for TomoSAR in Urban Areas With Ultrahigh-Resolution SAR Images

IEEE Transactions on Geoscience and Remote Sensing
The current synthetic aperture radar (SAR) images with ultrahigh-resolution provide detailed structures of the urban areas. Utilizing stacks of ultrahigh-resolution SAR images acquired with different view angles, tomographic SAR (TomoSAR) becomes an ...
Jie Li, Bingchen Zhang, Zhiyuan Li, Meng Qi, Kun Wang, Yirong Wu   +5 more
semanticscholar   +1 more source

Forest AGB Estimation Based on Tomosar Backscatter Power Distribution Law of Airborne P-Band Data

IEEE International Geoscience and Remote Sensing Symposium
The TomoSAR technique has been applied to forest aboveground biomass (forest AGB) estimation studies, but existing studies make insufficient use of the forest structure information detected by TomoSAR.
Xiangxing Wan, Daqing Ge, E. Chen, Li Zhang, Bin Liu, Qingqing Liu   +5 more
semanticscholar   +1 more source

Viability Of Multipath Exploitation In Urban Canyon: Range Profiles Analysis In Tomosar Imaging

IEEE International Geoscience and Remote Sensing Symposium
The rapid development in SAR three-dimensional imaging technology and the feasibility of employing lightweight and convenient platforms have increased the attention of low-altitude UAV-borne TomoSAR.
Yuqing Lin, Xiaolan Qiu, Yitong Luo, C. Ding   +3 more
semanticscholar   +1 more source

Analysis of A Deep Learning Solution for Tomosar Forest Reconstruction

IEEE International Geoscience and Remote Sensing Symposium
Forest measurement is crucial for tracking climate change and quantifying the global carbon cycle. Synthetic Aperture Radar Tomography has become an effective technique to realize 3D forest structure monitoring.
W. Yang, G. Ferraioli, X. Lu, V. Pascazio, Gilda Schirinzi, S. Vitale, H. Aghababei   +6 more
semanticscholar   +1 more source