Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 3, 62(2024)
Research on Branch and Foliage Separation Method with Point Transformer v2
[2] [2] MO L, ZOHNER C M, RRICH P B, et al. Integrated Global Assessment of the Natural Fest Carbon Potential[J]. Nature, 2023, 624(7990): 92101.
[7] G CECCHERINI, M GIRARDELLO, P S A BECK et al. Spaceborne Lidar Reveals the Effectiveness of European Protected Areas in Conserving Forest Height and Vertical Structure: 1. Communications Earth & Environment, 4, 1-13(2023).
[10] L MA, G ZHENG, J U EITEL et al. Improved Salient Feature-based Spproach for Sutomatically Separating Photosynthetic and Nonphotosynthetic Components within Terrestrial Lidar Point Cloud Data of Forest Canopies. IEEE Transactions on Geoscience and Remote Sensing, 54, 679-696(2015).
[12] S TAO, Q GUO, S XU et al. A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data. Photogrammetric Engineering & Remote Sensing, 81, 767-776(2015).
[16] [16] QI C R, SU H, MO K, et al. Point: Deep Learning on Point Sets f 3D Classification Segmentation[C]IEEE Conference on Computer Vision Pattern Recognition, July 2126, 2017, Honolulu, Hawaii. 2017: 652660.
[17] [17] QI C R, YI L, SU H, et al. Point++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space[C]31st International Conference on Neural Infmation Processing Systems, December 49, 2017, Long Beach, United States. 2017: 30.
[18] [18] ZHAO H, JIANG L, JIA J, et al. Point Transfmer[C]IEEECVF inTernational Conference on Computer Vision, June 2021, 2021, Nashville, TN, USA. 2021: 1625916268.
[19] X WU, Y LAO, L JIANG et al. Point Transformer V2: Grouped Vector Attention and Partition-Based Pooling. Advances in Neural Information Processing Systems, 35, 33330-33342(2022).
[24] [24] DUAN K, BAI S, XIE L, et al. Center: Keypoint Triplets f Object Detection[C]IEEECVF International Conference on Computer Vision, June1920, 2019, Long Beach, CA, USA. 2019: 65696578.
[28] [28] ZHANG S, CHEN Y, WANG B, et al. SPT: Sparse Convolution Transfmer wk f Woody Foliage Components Separation from Point Clouds[J]. IEEE Transactions on Geoscience Remote Sensing, 2024, 62: 118.
[31] [31] LRIEU L, SIMONOVSKY M. LargeScale Point Cloud Semantic Segmentation with Superpoint Graphs[C]IEEE Conference on Computer Vision Pattern Recognition, June 1823, 2018, Salt Lake City, UT, USA. 2018: 45584567.
[32] [32] LI Y, BU R, SUN M, et al. PointCNN: Convolution on XTransfmed Points[J]. Advances in Neural Infmation Processing Systems, 2018, 31: 111.
[33] G QIAN, H HAMMOUD, G LI et al. Assanet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. Advances in Neural Information Processing Systems, 34, 28119-28130(2021).
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Jin MA, Yiping CHEN, Ting HAN, Chaolei WANG, Xiaohai ZHANG, Wuming ZHANG. Research on Branch and Foliage Separation Method with Point Transformer v2[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(3): 62
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Received: Nov. 15, 2023
Accepted: Nov. 15, 2023
Published Online: Oct. 30, 2024
The Author Email: CHEN Yiping (chenyp79@mail.sysu.edu.cn)