3 results about "Absorption factor" patented technology

This application discloses a method, device, and medium for reconstructing the absorption coefficient of biological tissue, relating to the field of tissue optical parameter measurement. The method includes: segmenting a time-resolved analog signal and a measured signal according to a preset time window segmentation rule; constructing a depth-time window coupling weight matrix based on the time window and photon path information; determining the overall error based on the simulated value sequence, the measured value sequence, and the depth-time window coupling weight matrix; determining whether the overall error meets a preset iteration termination condition; if not, updating the sensitivity matrix based on the photon path information, and iteratively updating the current absorption coefficient using the depth-time window coupling weight matrix and the sensitivity matrix; determining a new time-resolved analog signal based on the updated absorption coefficient and photon path information; and continuing until the preset iteration termination condition is met. This application can improve the reliability, accuracy, and practicality of absorption coefficient reconstruction.

This invention relates to a hyperspectral inversion method for phytoplankton absorption coefficients based on multispectral satellites. The method includes fitting a Gaussian decomposition model to the measured phytoplankton absorption coefficient spectrum, selecting several predicted center wavelengths from the center wavelengths of multiple Gaussian curves in the model; establishing a fitting model between the remaining center wavelengths and the predicted center wavelengths; acquiring multispectral remote sensing images, using the remote sensing reflectance and spectral index of the sensitive bands of phytoplankton absorption coefficients as input to train a machine learning model, and obtaining a Gaussian parameter inversion model; using the inversion model and the fitting model to obtain Gaussian parameter values ​​from the multispectral remote sensing images of the lake under test, and substituting them into the Gaussian decomposition model to obtain the phytoplankton absorption coefficient spectrum of the lake under test. This method can solve the problem of the limited applicability of remote sensing inversion algorithms for inherent optical quantities of inland water bodies, and realize the monitoring of phytoplankton absorption coefficients in inland water bodies under different optical conditions.