4 results about "Depolarization ratio" patented technology

The invention discloses a hydraulic concrete structure underwater surface crack detection method, and relates to the technical field of image sensors, and the method comprises the steps: carrying out the transmissivity mapping and background radiation field separation of underwater light field characterization parameters, generating a target reflectivity image, carrying out the multispectral-polarization data fusion of the target reflectivity image, and generating an enhanced feature image; performing multi-scale convolution kernel space transformation and feature pyramid fusion on the enhanced feature image to generate a crack response diagram, and performing anisotropic non-maximum suppression and morphological skeleton refinement on the crack response diagram to generate crack detection data; and performing geometric topology joint optimization and parameter quantification on the crack detection data, and outputting a structured detection report. According to the invention, by constructing the light field transmission model and synchronously carrying out polarization and depolarization ratio combined noise filtering and geometric distortion correction, adaptive noise filtering is realized, and the measurement precision is improved.

The invention relates to the technical field of ocean detection equipment, and particularly provides an ocean laser radar system and a seawater multi-parameter detection method. The system comprises a laser emission subsystem, an optical receiving subsystem and a signal acquisition and control subsystem. The laser emission subsystem can emit multi-wavelength pulse laser to seawater; the optical receiving subsystem adopts a double-receiving telescope structure, respectively receives scattering and fluorescence signals with different properties, and realizes multi-channel signal separation through light splitting, light filtering and polarization light splitting elements; and the signal acquisition and control subsystem realizes synchronous acquisition and processing of multi-channel data. The system can synchronously invert water optical parameters, water particulate matter depolarization ratio and color ratio, chlorophyll concentration, suspended load concentration and other multi-parameter profiles, and is suitable for marine environment unattended monitoring of a fixed platform and a mobile platform.

This application provides a method for coarse and fine mode aerosol parameter inversion based on hyperspectral resolution lidar. The method simultaneously receives elastic scattering signals from the main channel and depolarization channel of aerosols, as well as molecular Rayleigh scattering signals, using a lidar system. Based on signal inversion, the total backscattering coefficient and total depolarization ratio of the aerosols are obtained. By clustering historical data, the characteristic depolarization ratios of coarse and fine modes are determined, along with the lidar ratio, to construct a multivariate hybrid model, achieving separation of the coarse and fine mode backscattering coefficients. The extinction coefficients of coarse and fine modes are calculated using the lidar ratio, and further integration yields the optical thickness of the coarse and fine modes. The coarse and fine mode aerosol parameter inversion method based on hyperspectral resolution lidar provided in this application does not require lidar ratio assumptions, possesses continuous all-day observation capability, and effectively overcomes the limitations of traditional passive remote sensing with day-night interruptions and the low signal-to-noise ratio of Raman lidar during the day.

This application provides a method for coarse and fine mode aerosol parameter inversion based on hyperspectral resolution lidar. The method simultaneously receives elastic scattering signals from the main channel and depolarization channel of aerosols, as well as molecular Rayleigh scattering signals, using a lidar system. Based on signal inversion, the total backscattering coefficient and total depolarization ratio of the aerosols are obtained. By clustering historical data, the characteristic depolarization ratios of coarse and fine modes are determined, along with the lidar ratio, to construct a multivariate hybrid model, achieving separation of the coarse and fine mode backscattering coefficients. The extinction coefficients of coarse and fine modes are calculated using the lidar ratio, and further integration yields the optical thickness of the coarse and fine modes. The coarse and fine mode aerosol parameter inversion method based on hyperspectral resolution lidar provided in this application does not require lidar ratio assumptions, possesses continuous all-day observation capability, and effectively overcomes the limitations of traditional passive remote sensing with day-night interruptions and the low signal-to-noise ratio of Raman lidar during the day.