TY - GEN
T1 - 3D Reconstruction in Planar Array Electrical Capacitance Tomography Based on Depth Estimation and Sparse Representation
AU - Suo, Peng
AU - Xu, Lijun
AU - Sun, Jiangtao
AU - Tian, Wenbin
AU - Sun, Shijie
AU - Xie, Yuedong
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/17
Y1 - 2021/5/17
N2 - Planar array electrical capacitance tomography (ECT) has an attractive prospect for underground detection of non-metallic materials, e.g., landmine and subsurface cavity detection. Accurate 3D image reconstruction is essential to these applications. This paper presents a 3D reconstruction method based on depth estimation and sparse representation. The approximate depth of object is attained by postprocessing an image by Tikhonov method and regarded as the prior knowledge for the sparse representation of target distribution. The 3D reconstruction is achieved by solving a dedicated optimization problem using the Gauss-Newton method. To simulate the application of subsurface cavity detection, a planar array ECT model has been established and solved numerically. With five targets of various shapes and depths, the estimated depths have been calculated and compared. Those five targets various shapes are then reconstructed using the proposed method and conventional methods, with their performances evaluated and compared. The preliminary results validated the superior performance of the proposed method.
AB - Planar array electrical capacitance tomography (ECT) has an attractive prospect for underground detection of non-metallic materials, e.g., landmine and subsurface cavity detection. Accurate 3D image reconstruction is essential to these applications. This paper presents a 3D reconstruction method based on depth estimation and sparse representation. The approximate depth of object is attained by postprocessing an image by Tikhonov method and regarded as the prior knowledge for the sparse representation of target distribution. The 3D reconstruction is achieved by solving a dedicated optimization problem using the Gauss-Newton method. To simulate the application of subsurface cavity detection, a planar array ECT model has been established and solved numerically. With five targets of various shapes and depths, the estimated depths have been calculated and compared. Those five targets various shapes are then reconstructed using the proposed method and conventional methods, with their performances evaluated and compared. The preliminary results validated the superior performance of the proposed method.
KW - 3D sparse reconstruction
KW - depth estimation
KW - electrical capacitance tomography
KW - planar array
KW - subsurface cavity detection
UR - https://www.scopus.com/pages/publications/85113713134
U2 - 10.1109/I2MTC50364.2021.9459984
DO - 10.1109/I2MTC50364.2021.9459984
M3 - 会议稿件
AN - SCOPUS:85113713134
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
BT - I2MTC 2021 - IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021
Y2 - 17 May 2021 through 20 May 2021
ER -