A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network.
Linlong WangHuaiqing ZhangKexin LeiTingdong YangJing ZhangZeyu CuiRurao FuHongyan YuBaowei ZhaoXianyin WangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- sensitivity analysis
- fine tuning
- computational cost
- detection method
- high accuracy
- parameter estimation
- objective function
- maximum likelihood estimation
- input data
- segmentation method
- experimental evaluation
- synthetic data
- high precision
- clustering method
- expectation maximization
- probability density function
- parameter settings
- parameter selection
- convolutional neural network
- dynamic environments
- model selection
- neural network
- multi class
- dynamic programming
- cost function
- significant improvement
- prior knowledge
- spatio temporal
- data analysis
- object recognition
- computational complexity
- face recognition