Foliage penetration obscuration probability density function analysis from overhead canopy photos for gimbaled linear-mode and Geiger-mode airborne lidar

2010 ◽  
Author(s):  
Robin R. Burton
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Function Analysis ◽  
Airborne Lidar ◽  
Linear Mode ◽  
Geiger Mode

scholarly journals Probability Density Function Analysis Based on Logistic Regression Model

2022 ◽  
Vol 16 ◽  
pp. 60-69
Author(s):  
Lingling Fang ◽  
Yunxia Zhang
Keyword(s):  
Logistic Regression ◽  
Probability Density Function ◽  
Regression Model ◽  
Probability Density ◽  
Density Function ◽  
Logistic Regression Model ◽  
Function Analysis ◽  
Great Influence ◽  
Data Fitting ◽  
Analysis Method

The data fitting level in probability density function analysis has great influence on the analysis results, so it is of great significance to improve the data fitting level. Therefore, a probability density function analysis method based on logistic regression model is proposed. The logistic regression model with kernel function is established, and the optimal window width and mean square integral error are selected to limit the solution accuracy of probability density function. Using the real probability density function, the probability density function with the smallest error is obtained. The estimated probability density function is analyzed from two aspects of consistency and convergence speed. The experimental results show that compared with the traditional probability density function analysis method, the probability density function analysis method based on logistics regression model has a higher fitting level, which is more suitable for practical research projects.

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