Brdf normalization correction method for airborne push-broom hyperspectral imagery in forested areas

Abstract

The invention provides a BRDF normalization correction method for airborne push-broom hyperspectral images in forested areas with undulating terrain, using airborne push-broom hyperspectral equipment to observe the field of view and flight attitude information and the sun at the time of data collection. Calculate the plane-based solar-observation geometry of the image pixel based on the position, then extract the slope and aspect information of the corresponding pixel based on high-precision DEM data, and rotate the plane-based solar-observation geometry of the pixel to the real sun-observation geometry, From the classified image data, the pixels of various object types are extracted to form a multi-angle observation reflectance data set, and a BRDF model is constructed based on the real sun-observation geometry. Finally, a multiplicative normalization factor is used to normalize the directional reflectance at multiple angles within the imagery to the reflectance at a specified observation-sun angle. The invention can effectively correct the BRDF effect of the airborne push-broom hyperspectral image in the undulating terrain, and has great significance for the quantitative research of the follow-up image.

Description

technical field [0001] The invention relates to the field of forestry informatization, in particular to a binomial reflectance distribution function (BRDF) normalization correction method for airborne push-broom hyperspectral images in forest areas with undulating terrain. Background technique [0002] Since the 1970s, the application of remote sensing technology has greatly improved people's ability to detect ground objects and has conditions for in-depth quantitative analysis. The anisotropic reflection of ground objects is one of the macroscopic phenomena in nature, and its specific performance is that its surface reflection changes with the change of the incident radiation direction and the observation angle. The multi-angle observation phenomenon of ground objects will cause radiation distortion, which restricts the accurate description of the inherent reflection properties of ground objects. It is an important part in the field of quantitative remote sensing to carry ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing BRDF correction algorithm cannot be based on the imaging characteristics of the airborne push-broom hyperspectral equipment and the radiation correction in the complex imaging environment of the forest area with undulating terrain

The new multi-angle data set will satisfy the existing BRDF correction algorithm, thus solving the binomial reflectance distribution function (BRDF) correction problem of airborne push-broom hyperspectral imagery in forested areas with undulating terrain

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