Results 161 to 170 of about 1,079 (177)

Efficient Region-Based 3-D Urban Building Reconstruction From TomoSAR Images

IEEE Transactions on Geoscience and Remote Sensing
The tomographic synthetic aperture radar (TomoSAR) technique has been gaining attention because it can retrieve the 3-D structures of urban buildings by synthesizing apertures along the elevation direction.
Wei Wang, Liankun Yu, Qiulei Dong, Zhanyi Hu   +3 more
semanticscholar   +1 more source

Multistatic TomoSAR Ambiguity Suppression Method Based on Multiple Subbands

IEEE International Geoscience and Remote Sensing Symposium
Compared with the traditional tomographic synthetic aperture radar (TomoSAR) system, multistatic TomoSAR can overcome the physical size limitation, realizing high-resolution 3-D imaging via single pass.
Chaodong Wang, Yao Li, Mingyue Lou, Zhongyu Li, Hongyang An, Xichen Yin, Jianyu Yang   +6 more
semanticscholar   +1 more source

Improved ALISTA Algorithm Based on Dense Network and Its Application to TomoSAR Building Object Height Inversion

2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)
The TomoSAR building object height inversion is a technique that employs two-dimensional radar image data obtained from spacecraft, such as satellites, that have traversed the same area on multiple occasions.
Weiqiu Liang, Jiying Liu, Yapeng Zhan, Zexi Yang, Boran Li   +4 more
semanticscholar   +1 more source

Beyond the Grid: Weighted Least Squares Approach for Accurate and Efficient TomoSAR Inversion

IEEE International Geoscience and Remote Sensing Symposium
Synthetic Aperture Radar Tomography (TomoSAR) has proven to be a powerful technique in urban mapping, disaster assessment, and counter-terrorism operations. However, existing inversion algorithms face challenges in balancing accuracy and efficiency. This
Qiancheng Yan, Zekun Jiao, Xiaolan Qiu, C. Ding   +3 more
semanticscholar   +1 more source

Sparsity based TomoSAR combining CS and GLRT

2018
In this paper a new approach to TomoSAR imaging is presented. It is based on the joint use of a Constant False Alarm Rate (CFAR) detection approach of multiple targets and of Compressive Sampling (CS) tomographic reconstructions. CS is widely used to recover a sparse signal but suffers from the presence of outliers.
Budillon, Alessandra, Johnsy, Angel Caroline, Schirinzi, Gilda   +2 more
openaire   +1 more source

Building profile reconstruction based on double subspace TomoSAR

International Journal of Remote Sensing, 2023
M.M. Omati, M.H. Bastani
openaire   +1 more source

A novel airborne TomoSAR 3-D focusing method for accurate ice thickness and glacier volume estimation

Isprs Journal of Photogrammetry and Remote Sensing
Ke Wang, Yue Wu, Xiaolan Qiu, Jinbiao Zhu, Donghai Zheng, Songtao Shangguan, Jie Pan, Yuquan Liu, Liming Jiang, Xin Li   +9 more
semanticscholar   +1 more source

MLC-net: A sparse reconstruction network for TomoSAR imaging based on multi-label classification neural network

Isprs Journal of Photogrammetry and Remote Sensing
Depeng Ouyang, Yueting Zhang, Jiayi Guo, Guangyao Zhou   +3 more
semanticscholar   +1 more source

Impact of Contextual Filtering on TomoSAR Detection

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Karima Hadj-Rabah, Faiza Hocine, Alessandra Budillon, Gilda Schirinzi   +3 more
openaire   +1 more source

Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model

International Journal of Applied Earth Observation and Geoinformation
Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang   +8 more
semanticscholar   +1 more source