The invention provides a water tank
granularity and mineral characterization method based on
laser scattering spots and a Raman spectrum, and belongs to the technical field of
underwater detection. A
seabed fan
deposition process is reproduced and a deposition body is generated; a multi-mode optical detection
system integrating
laser ranging,
elastic scattering imaging and Raman spectrum acquisition is adopted, a probe scans along a preset path, and
bottom type tracking and maximum
signal acquisition are realized in combination with real-time
bottom type feedback and a dynamic optical compensation mechanism; performing multi-scale denoising and feature enhancement on the scattering image and the Raman spectrum through
discrete wavelet transform;
particle size distribution is inversed based on a space contrast method, and a three-dimensional particle size diagram is generated in combination with
Kriging interpolation; pure mineral Raman signals are extracted through spectrum baseline correction and water interference deduction, and high-precision recognition of mineral components is achieved through spectrum
library matching; and establishing a
granularity-mineral correlation model through clustering analysis and
partial least squares regression. The invention provides a systematic and reliable method for collaborative analysis of the sedimentary structure and the material composition.