Work

Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery

Year: 2025

Type: article

Source: IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/tgrs.2025.3584093

Authors: Kangning Cui, Wei Tang, Rongkun Zhu, Manqi Wang, Gregory D. Larsen, Victor P. Pauca, Sarra Alqahtani, Fan Yang, David Segurado, Paul Fine, Jordan Karubian, Raymond H. Chan, Robert J. Plemmons, Jean-Michel Morel, Miles R. Silman

Institutions: City University of Hong Kong, Xidian University, Wake Forest University, University of California, Berkeley, Tulane University, Lingnan University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Life on land

Open Access status: closed

Funders: National Science Foundation, City University of Hong Kong, Research Grants Council, University Grants Committee, Innovation and Technology Fund, Lingnan University

Awards: G1303149558, CRII: III: Towards Efficient Interpretation for Explainable Learning: A Computational Perspective on Attribution and Recourse, G4339546202, Artificial Intelligence Methods and Applications for Breast Cancer Diagnosis and Treatment in Clinical Trials, G620040367, Collaborative Research: BEE: Impacts of abiotic environment, pathogen resistance and Pre-Columbian human management on Neotropical canopy palm abundances

OpenAlex ID: W4411799406

FWCI: 10.22

Cites: 90

Cited by: 24

Related to: 10