Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests

Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests

Automatic tree crown segmentation from remote sensing data is especially challenging in dense, diverse, and multilayered tropical forest canopies, and tracking mortality by this approach is even more difficult. Here, we examine the potential for combining airborne laser scanning (ALS) with multispec...

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Bibliographic Details
Main Authors: Melaine Aubry-Kientz, Anthony Laybros, Ben Weinstein, James Ball, Toby Jackson, David Coomes, Gregoire Vincent
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Airborne laser scanning (ALS)
data fusion
deepforest
high-resolution imagery
hyperspectral
3-D adaptive mean-shift (AMS3D)
Online Access:https://ieeexplore.ieee.org/document/9387530/

Internet

https://ieeexplore.ieee.org/document/9387530/

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