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Author Title Type Year(Asc)
2019
Ma, L., Wu, T., Li, Y., Li, J., Chen, Y., & Chapman, M.. (2019). Automated Extraction of Driving Lines from Mobile Laser Scanning Point Clouds. In Advances in Cartography and GIScience of the ICA (Vol. 1, pp. doi: doi: 10.5194/ica-adv-1-12-2019). Retrieved from https://pdfs.semanticscholar.org/209e/ee7be24fd3fcfcf45321a89e8e8b81ce88aa.pdf
Ma, L., Li, Y., Li, J., Zhong, Z., & Chapman, M.. (2019). Generation of horizontally curved driving lines in HD maps using mobile laser scanning point cloudsAuthorsLing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(5), 1572-1586. Retrieved from https://ieeexplore.ieee.org/abstract/document/8681640
Ye, C., Li, J., Jiang, H., Zhao, H., Ma, L., & Chapman, M.. (2019). Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2019.2904735.
Ma, L., Chen, Z., Li, Y., Li, J., Zhang, D., & Chapman, M.. (2019). Multispectral Airborne Laser Scanning Point-Clouds for Land Cover Classification Using Convolutional Neural Networks. In ISPRS Archives (pp. doi:10.5194/isprs-archives-XLII-2-W13-79). Retrieved from https://pdfs.semanticscholar.org/8ef9/a365bef838c87fe030ed1b2e4a1bdff9caed.pdf
Chen, Y., Wang, S., Ma, L., Li, J., Wu, R., Luo, Z., Wang, C., et al. (2019). Rapid urban roadside tree inventory using a mobile laser scanning system. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2019.2929546. Retrieved from https://ieeexplore.ieee.org/abstract/document/8789656
Yu, Y., Guan, H., Li, D., Gu, T., Wang, L., Ma, L., & Li, J.. (2019). A Hybrid Capsule Network for Land Cover Classification Using Multispectral LiDAR Data. IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2019.2940505. Retrieved from https://ieeexplore.ieee.org/abstract/document/8846588
Li, Y., Ma, L., Zhong, Z., Cao, D., & Li, J.. (2019). TGNet: Geometric Graph CNN on 3D Point Cloud Segmentation. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2019.2958517. Retrieved from https://ieeexplore.ieee.org/abstract/document/8941003 2019_li_tgrs.pdf
Ma, L., Li, Y., Li, J., Tan, W., Yu, Y., & Chapman, M.. (2019). Multi-scale Point-wise Convolutional Neural Networks for 3D Object Segmentation from LiDAR Point Clouds in Large-scale Environments. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2019.2961060. Retrieved from https://ieeexplore.ieee.org/abstract/document/8943956 2019_ma_tits.pdf
2018
Zhou, M., Ma, L., Li, Y., & Li, J.. (2018). Extraction of building windows from mobile laser scanning point clouds. In IGARSS 2018 (pp. 4308-4311). Retrieved from https://ieeexplore.ieee.org/abstract/document/8518899
Li, Y., Ma, L., Huang, Y., & Li, J.. (2018). Segment-based traffic sign detection from mobile laser scanning data. In IGARSS 2018 (pp. 4611-4614). Retrieved from https://ieeexplore.ieee.org/abstract/document/8519059
Ma, L., Li, Y., Li, J., Wang, C., Wang, R., & Chapman, M.. (2018). Mobile laser scanned point-clouds for road object detection and extraction: A review. Remote Sensing, 10(10), 1531. Retrieved from https://www.mdpi.com/2072-4292/10/10/1531
2017
Zhong, Z., Li, J., Ma, L., Jiang, H., & Zhao, H.. (2017). Deep residual networks for hyperspectral image classification. In IGARSS 2017 (pp. 1824-1827). Retrieved from https://ieeexplore.ieee.org/abstract/document/8127330
2016
Ma, L., Zhao, H., & Li, J.. (2016). EXAMINING URBAN EXPANSION USING MULTI-TEMPORAL LANDSAT IMAGERY: A CASE STUDY OF THE MONTREAL CENSUS METROPOLITAN AREA FROM 1975 TO 2015, CANADA. ISPRS Archives, 41. Retrieved from https://www.researchgate.net/profile/Lingfei_Ma/publication/307529435_EXAMINING_URBAN_EXPANSION_USING_MULTI-TEMPORAL_LANDSAT_IMAGERY_A_CASE_STUDY_OF_THE_MONTREAL_CENSUS_METROPOLITAN_AREA_FROM_1975_TO_2015_CANADA/links/5c2f7500299bf12be3ac7f2a/EXAMINING-UR