The invention relates to the technical field of
moisture prediction, in particular to a 3D reconstruction and illumination adaptive
coal surface moisture prediction method, which comprises the following steps of: planning an unmanned aerial vehicle
route to collect an image, reconstructing
coal pile surface space structure information, forming a local
triangular grid, dividing an illumination continuous area, establishing a space corresponding relation between the illumination area and a hyperspectral pixel, and predicting the
moisture content of a
coal pile. And geometric registration and reflection transition correction are executed, depression points and shoulder positions of a reflection curve are detected in the identification interval,
moisture absorption characteristics are constructed, a moisture migration link is established in the slope direction, and a coal
surface moisture prediction result is obtained. According to the method, a
spatial structure and illumination distribution are coupled, a dynamic correction relation is established to unify reflection information,
image registration and spectrum reconstruction are combined to strengthen
geometric consistency, a moisture migration trend is extracted by utilizing depression point and slope correlation, link and accumulation distribution is formed, and a corrected reflection characteristic represents a spectrum attenuation rule. The spatial continuity and
numerical stability of moisture identification are ensured, and the
water content grade division is coherent and comparable.