Automatic Regularization of TomoSAR Point Clouds for Buildings Using Neural Networks

Exploring foci of: Sensors • Vol 19 • No 17 Automatic Regularization of TomoSAR Point Clouds for Buildings Using Neural Networks August 2019 • Siyan Zhou, Yanlei Li, Fubo Zhang, Longyong Chen, Xiangxi Bu Tomographic SAR (TomoSAR) is a remote sensing technique that extends the conventional two-dimensional (2-D) synthetic aperture radar (SAR) imaging principle to three-dimensional (3-D) imaging. It produces 3-D point clouds with unavoidable noise that seriously deteriorates the quality of 3-D imaging and the reconstruction of buildings over urban areas. However, existing methods for TomoSAR point cloud processing notably rely on data segmentation, which influences the processing efficiency and denoising performance … Open Article Page

Point Cloud Segmentation Fault Computer Science Artificial Intelligence Computer Vision Synthetic-Aperture Radar Chemistry Biochemistry Open Article