Chinese Journal of Quantum Electronics, Volume. 41, Issue 4, 659(2024)
Research of multi‑view wood‑leaf 3D reconstruction based on hyperspectral lidar
Fig. 2. Experimental sample-bonsai tree (a) and rotating platform (b)
Fig. 3. Different view of bonsai tree. (a) View 1 of 15°; (b) View 2 of 15°; (c) View 1 of 30°; (d) View 2 of 30°
Fig. 4. Initial condition of different view. (a) View 1 of 15° ; (b) View 2 of 15°; (c) View 1 of 30°; (d) View 2 of 30°
Fig. 9. Registration results of vision angle 15°. (a) View 1 of rough registration; (b) View 2 of rough registration;(c) View 1 of accurate registration; (d) View 2 of accurate registration
Fig. 10. Registration results of vision angle 30°. (a) View 1 of rough registration; (b) View 2 of rough registration;(c) View 1 of accurate registration; (d) View 2 of accurate registration
Fig. 11. Wood-leaf separation of vision angle 15°. (a) RF feature channels; (b) RF full channels;(c) SVM feature channels; (d) SVM full channels
Fig. 12. Wood-leaf separation of vision angle 30°. (a) RF feature channels; (b) RF full channels;(c) SVM feature channels; (d) SVM full channels
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Zheng CAO, Hui SHAO, Long SUN, Yuxia HU, Jie CHEN, Heng XU, Chong CHEN. Research of multi‑view wood‑leaf 3D reconstruction based on hyperspectral lidar[J]. Chinese Journal of Quantum Electronics, 2024, 41(4): 659
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Received: May. 20, 2022
Accepted: --
Published Online: Jan. 8, 2025
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