LOD2-Level+ Low-Rise Building Model Extraction Method for Oblique Photography Data Using U-NET and a Multi-Decision RANSAC Segmentation Algorithm.

MLA

He, Yufeng, et al. “LOD2-Level+ Low-Rise Building Model Extraction Method for Oblique Photography Data Using U-NET and a Multi-Decision RANSAC Segmentation Algorithm.” Remote Sensing, vol. 16, no. 13, July 2024, p. 2404. EBSCOhost, https://doi.org/10.3390/rs16132404.

APA

He, Y., Wu, X., Pan, W., Chen, H., Zhou, S., Lei, S., Gong, X., Xu, H., & Sheng, Y. (2024). LOD2-Level+ Low-Rise Building Model Extraction Method for Oblique Photography Data Using U-NET and a Multi-Decision RANSAC Segmentation Algorithm. Remote Sensing, 16(13), 2404. https://doi.org/10.3390/rs16132404

Chicago

He, Yufeng, Xiaobian Wu, Weibin Pan, Hui Chen, Songshan Zhou, Shaohua Lei, Xiaoran Gong, Hanzeyu Xu, and Yehua Sheng. 2024. “LOD2-Level+ Low-Rise Building Model Extraction Method for Oblique Photography Data Using U-NET and a Multi-Decision RANSAC Segmentation Algorithm.” Remote Sensing 16 (13): 2404. doi:10.3390/rs16132404.