Automated Internal Defect Identification and Localization Based on a Near-Field SAR Millimeter-Wave Imaging System
Fast and cost-effective detection of internal defects is essential for structural integrity inspection in various applications such as manufacturing, construction, and aerospace. Current internal non-destructive testing (NDT) methods, such as computed tomography, can be costly, time-consuming, and c...
Saved in:
Main Authors: | Quoc Cuong Bui, Weizhi Lin, Qiang Huang, Gyung-Su Byun |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10872942/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance
by: Xianen Wei, et al.
Published: (2025-01-01) -
Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment
by: Tianyi Wang, et al.
Published: (2025-01-01) -
Network-Scale Impact of Vegetation Loss on Coverage and Exposure for 5G Networks
by: Jorn Schampheleer, et al.
Published: (2025-01-01) -
SAR Image Simulation for Crater Terrain Using Formation Theory-Based Modeling and Hybrid Ray-Tracing
by: Ya-Ting Zhou, et al.
Published: (2025-01-01) -
Sensitivity Analysis of Copolar Complex Coherence for Crop Monitoring At L-Band
by: Jiayin Luo, et al.
Published: (2025-01-01)