Tsukasa Mizutani
Orcid: 0000-0002-4275-7832
According to our database1,
Tsukasa Mizutani
authored at least 11 papers
between 2019 and 2025.
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Bibliography
2025
Enhancing Deep Learning-Based GPR Data Inversion With Unsupervised Domain Adaptation: Comparison of Domain Classifiers.
IEEE Trans. Geosci. Remote. Sens., 2025
Lidar-IMU-GPS Based System for Over Head Contact Line Geometry Assessment in Railways.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2025
2024
Road crack detection interpreting background images by convolutional neural networks and a self-organizing map.
Comput. Aided Civ. Infrastructure Eng., June, 2024
Quantitative road crack evaluation by a U-Net architecture using smartphone images and Lidar data.
Comput. Aided Civ. Infrastructure Eng., April, 2024
Interpolation of Low-Sampling Interval Ground Penetrating Radar Images by F-K Domain Convolutional Neural Networks.
Proceedings of the IGARSS 2024, 2024
Detecting Underground Pipes and Void Models by GPR 3D Scanner with Unsupervised Semantic Segmentation.
Proceedings of the IGARSS 2024, 2024
2023
Reflectivity-Consistent Sparse Blind Deconvolution for Denoising and Calibration of Multichannel GPR Volume Images.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Detecting Subsurface Voids From GPR Images by 3-D Convolutional Neural Network Using 2-D Finite Difference Time Domain Method.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
2021
Mapping Subsurface Utility Pipes by 3-D Convolutional Neural Network and Kirchhoff Migration Using GPR Images.
IEEE Trans. Geosci. Remote. Sens., 2021
Localization of Subsurface Pipes in Radar Images by 3D Convolutional Neural Network and Kirchhoff Migration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2019
Sensitive Damage Detection of Reinforced Concrete Bridge Slab by "Time-Variant Deconvolution" of SHF-Band Radar Signal.
IEEE Trans. Geosci. Remote. Sens., 2019