A Novel 3-D Imaging System for Buildings Using Millimeter-Wave Dual-Antenna SAR With Rotation

Three-dimensional synthetic aperture radar (SAR) imaging holds significant potential for the health monitoring of buildings, as it can resolve the geometric distortion present in typical 2-D SAR images. This article introduces a novel 3-D imaging technique based on a dual-antenna Interferometric rotating SAR (RSAR) (Interferometric RSAR) mode. Our proposed method uses the center of a straight track as the rotation center, collecting data from two distinct angles in one rotation simplify data acquisition. The main innovation is the first use of the multiangle 3-D imaging capabilities of RSAR to resolve the height ambiguity issue caused by interferometric measurements. This strategy enables the accurate determination of ambiguity numbers and reconstructs of high-precision 3-D point cloud. Additionally, we analyze the 3-D imaging capabilities of the proposed method from both the image domain and the k-space perspective, offering detailed insights into its theoretical foundations. Finally, a real-world millimeter-wave (mmW) dual-antenna radar experiment validates the proposed method, achieving an accuracy of 0.1874 m compared to LiDAR.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3552000
Citations
3
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel 3-D Imaging System for Buildings Using Millimeter-Wave Dual-Antenna SAR With Rotation

Wen Jiang, Wenjie Shen, Yun Lin, Yanping Wang et al.
3 citations
IEEE Transactions on Instrumentation and Measurement
Indoor and Outdoor Localization Technologies
2.19
article

A Novel 3-D Imaging System for Buildings Using Millimeter-Wave Dual-Antenna SAR With Rotation

Wen Jiang, Wenjie Shen, Yun Lin, Yanping Wang, Ying Wang
article en
3 citations

Abstract

Three-dimensional synthetic aperture radar (SAR) imaging holds significant potential for the health monitoring of buildings, as it can resolve the geometric distortion present in typical 2-D SAR images. This article introduces a novel 3-D imaging technique based on a dual-antenna Interferometric rotating SAR (RSAR) (Interferometric RSAR) mode. Our proposed method uses the center of a straight track as the rotation center, collecting data from two distinct angles in one rotation simplify data acquisition. The main innovation is the first use of the multiangle 3-D imaging capabilities of RSAR to resolve the height ambiguity issue caused by interferometric measurements. This strategy enables the accurate determination of ambiguity numbers and reconstructs of high-precision 3-D point cloud. Additionally, we analyze the 3-D imaging capabilities of the proposed method from both the image domain and the k-space perspective, offering detailed insights into its theoretical foundations. Finally, a real-world millimeter-wave (mmW) dual-antenna radar experiment validates the proposed method, achieving an accuracy of 0.1874 m compared to LiDAR.

IEEE Transactions on Instrumentation and MeasurementVol. 74
North China University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 13%
Indoor and Outdoor Localization Technologies
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Novel 3-D Imaging System for Buildings Using Millimeter-Wave Dual-Antenna SAR With Rotation — Wen Jiang, Wenjie Shen, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS