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A platform for research: civil engineering, architecture and urbanism
A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods
Timely and accurate information on tree species is of great importance for the sustainable management of natural resources, forest inventory, biodiversity detection, and carbon stock calculation. The advancement of remote sensing technology and artificial intelligence has facilitated the acquisition and analysis of remote sensing data, resulting in more precise and effective classification of tree species. A review of the remote sensing data and deep learning tree species classification methods is lacking in its analysis of unimodal and multimodal remote sensing data and classification methods in this field. To address this gap, we search for major trends in remote sensing data and tree species classification methods, provide a detailed overview of classic deep learning-based methods for tree species classification, and discuss some limitations of tree species classification.
A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods
Timely and accurate information on tree species is of great importance for the sustainable management of natural resources, forest inventory, biodiversity detection, and carbon stock calculation. The advancement of remote sensing technology and artificial intelligence has facilitated the acquisition and analysis of remote sensing data, resulting in more precise and effective classification of tree species. A review of the remote sensing data and deep learning tree species classification methods is lacking in its analysis of unimodal and multimodal remote sensing data and classification methods in this field. To address this gap, we search for major trends in remote sensing data and tree species classification methods, provide a detailed overview of classic deep learning-based methods for tree species classification, and discuss some limitations of tree species classification.
A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods
Lihui Zhong (author) / Zhengquan Dai (author) / Panfei Fang (author) / Yong Cao (author) / Leiguang Wang (author)
2024
Article (Journal)
Electronic Resource
Unknown
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