BCAR-Net: A Bidirectional Cross-Attention Network with Auxiliary Reconstruction for Tree Counting in Complex Forest Scenes Using Airborne RGB and LiDAR Data.
- DOI
- 10.3390/plants15121762
- Published
- 2026-06-06
- Container
- Plants (Basel)
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.3390/plants15121762,
title = {BCAR-Net: A Bidirectional Cross-Attention Network with Auxiliary Reconstruction for Tree Counting in Complex Forest Scenes Using Airborne RGB and LiDAR Data.},
author = {Wu X and Fan X and Tang M and Dai S.},
year = {2026},
journal = {Plants (Basel)},
doi = {10.3390/plants15121762},
url = {https://doi.org/10.3390/plants15121762}
}RIS
TY - JOUR TI - BCAR-Net: A Bidirectional Cross-Attention Network with Auxiliary Reconstruction for Tree Counting in Complex Forest Scenes Using Airborne RGB and LiDAR Data. AU - Wu X AU - Fan X AU - Tang M AU - Dai S. PY - 2026 JO - Plants (Basel) DO - 10.3390/plants15121762 UR - https://doi.org/10.3390/plants15121762 ER -
APA
X, W., X, F., M, T., & S., D. (2026). BCAR-Net: A Bidirectional Cross-Attention Network with Auxiliary Reconstruction for Tree Counting in Complex Forest Scenes Using Airborne RGB and LiDAR Data.. Plants (Basel). https://doi.org/10.3390/plants15121762
Source records
- europe-pmc · retrieved 2026-09-25T10:06:08.136Z
- doaj · retrieved 2026-09-25T10:06:08.119Z