Multi-spectral laser radar wavelength selection method for vegetation biochemical parameter detection

Abstract

The invention provides a multi-spectral laser radar wavelength selection method for vegetation biochemical parameter detection. The method comprises: carrying out a sensitivity analysis on a blade radiation transmission model PROSPECT and acquiring contribution degrees of a model leaf structure and various biochemical parameters to each wavelength reflectance in a preset wavelength range; establishing a sensitive wavelength sequence table for each parameter of the model; carrying out forward modeling on a PROSPECT model and generating a simulated spectral data set; carrying out band spectral autocorrelation analysis on the simulated spectral data set and checking correlation of random paired wavelength combined reflectance within the preset wavelength range; and acquiring multi-set alternative wavelength combinations, carrying out targeted PROSPECT model inversion to check the inversion accuracy of biochemical parameters by each set of alternative wavelength combination, and constructing an optimal band subset for detection of blade biochemical parameters of the multi-spectral laser radar based on inversion statistical parameters. The method can be applied to the novel multi-spectral laser radar instrument and supports direct and simultaneous acquiring of color laser spectral information and laser point cloud spatial information of a target object.

Description

technical field [0001] The invention relates to the technical field of comprehensive application of surveying, mapping and remote sensing, in particular to a novel multi-spectral laser radar wavelength selection method. Background technique [0002] Traditional single-wavelength lidar technology has outstanding advantages in quickly acquiring three-dimensional spatial information. However, limited by the single wavelength of traditional lidar, it is difficult to obtain effective spectral features of ground objects, and the ability to monitor vegetation growth status is limited. The emergence of multispectral lidar can effectively make up for this shortcoming. However, the more wavelengths of multispectral lidar, the better. More wavelengths will increase the cost of the instrument and the complexity of the system, but it does not necessarily increase the effective information. Contents of the invention [0003] The object of the present invention is to provide a multi-sp...

AI Technical Summary

Problems solved by technology

However, the more wavelengths of multispectral lidar, the better. More wavelengths will increase the cost of the instrument and the complexity of the system, but it does not necessarily increase the effective information.

Images