Emissivity measurements are of great significance for infrared thermal radiation and
infrared remote sensing. However, traditional methods often face
challenges such as difficulties in non-contact measurement, small
measurement areas, and unsuitability for non-Lambertian surfaces. To
address these issues, we propose the reflective distribution model
integral method (RDMIM). This method is based on a reflective
distribution model using the scattering-reflective deviation angle
(SRDA). By regressing and integrating the object’s reflective
distribution model, it achieves accurate non-contact measurement of
non-Lambertian surfaces under normal temperature conditions.
Additionally, the measurement scheme has been further optimized to
improve measurement efficiency while ensuring the accuracy of the
model regression. Finally, the proposed RDMIM method has been
validated through experimental measurements. The results have shown
that this method has advantages in non-contact and large-area
measurements. Moreover, the systematic error is smaller when the
reflective characteristics of the reference body and the target are
relatively similar.