Lagahit, M.L.R.; Liu, X.; Xiu, H.; Kim, T.; Kim, K.-S.; Matsuoka, M.
Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery. Remote Sens. 2024, 16, 4592.
https://doi.org/10.3390/rs16234592
AMA Style
Lagahit MLR, Liu X, Xiu H, Kim T, Kim K-S, Matsuoka M.
Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery. Remote Sensing. 2024; 16(23):4592.
https://doi.org/10.3390/rs16234592
Chicago/Turabian Style
Lagahit, Miguel Luis Rivera, Xin Liu, Haoyi Xiu, Taehoon Kim, Kyoung-Sook Kim, and Masashi Matsuoka.
2024. "Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery" Remote Sensing 16, no. 23: 4592.
https://doi.org/10.3390/rs16234592
APA Style
Lagahit, M. L. R., Liu, X., Xiu, H., Kim, T., Kim, K.-S., & Matsuoka, M.
(2024). Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery. Remote Sensing, 16(23), 4592.
https://doi.org/10.3390/rs16234592