Wood-leaf separation method based on dual-wavelength active range-gated imaging

Chenhao Xia; Xinwei Wang; Liang Sun; Bo Song; Yan Zhou

doi:10.1117/12.3019750

30 April 2024 Wood-leaf separation method based on dual-wavelength active range-gated imaging

Chenhao Xia, Xinwei Wang, Liang Sun, Bo Song, Yan Zhou

Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 131571B (2024) https://doi.org/10.1117/12.3019750
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Separation of leaves and woody materials is crucial for estimation of biophysical attributes of trees such as leaf area index and above-ground biomass. Segmentation based on images from traditional cameras is difficult in low-light level conditions like high canopy density areas and understory vegetation in rain forests. Point clouds from terrestrial laser scanning (TLS) LIDAR are also used for canopy quantitative analysis, but it suffers from low spatial-resolution for leafwood separation. To solve the problems mentioned above, we present a method of wood-leaf separation method based on a dual-wavelength active range-gated imaging system to separate leaves, woody elements, and background. In our method, two overlapped near infrared gated images at the wavelength of 808nm are obtained with background filtered by gated viewing, and a green-channel image is grasped at the illumination of 530nm LED. Then through data preprocessing, these images are input into our separation algorithm. Our separation method uses a peak-search formula to find the target peak in the histogram of an image, and the threshold is the local minimum at the right of the target peak. After segmentation by thresholding, a woody area mask is obtained. Combined with the point clouds reconstructed from gated images, separation on the point clouds is available. We have collected images of vegetation and performed manual separation to test our method. The results show that our method is capable to make accurate classification of leaves, woody elements and background.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenhao Xia, Xinwei Wang, Liang Sun, Bo Song, and Yan Zhou "Wood-leaf separation method based on dual-wavelength active range-gated imaging", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 131571B (30 April 2024); https://doi.org/10.1117/12.3019750

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KEYWORDS

Point clouds

Pulsed laser operation

Imaging systems

Near infrared

Reflectivity

Image segmentation

LIDAR

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