Shadow spectrum simulating method

Abstract

The invention relates to a shadow spectrum simulating method, comprising the following steps of: real-timely measuring radiance of a white board or a ground object in a non-shadowy condition and radiance of the white board or the ground object in a shadowy condition by using a field ground-object spectroradiometer, calculating a shadow spectral brightness attenuation coefficient, combining the known incident spectrum brightness with the ground-object spectrum reflectivity without shadow, and obtaining a simulated shadow ground-object spectrum according to the calculated shadow spectral brightness attenuation coefficient. According to the shadow spectrum simulating method disclosed by the invention, the shadow in a deep spectrum angle is researched, the band difference resulting from the influence of the shadow intensity and the ground-object spectrum on the shadow ground-object spectrum is found out, and the shadow intensities of different bands are quantitatively represented; the ground-object spectrum in the shadow condition is precisely reduced and simulated; a target in the shadow is effectively explored and the influence of the shadow is eliminated; the shadow spectrum simulating method is very important for simulation of hyperspectral images, detection and elimination of shadows, exploration and identification of targets and is applicable to hyperspectral simulation, target characteristic research, shadow elimination, shadow detection and remote sensing image processing.

Description

technical field [0001] The invention relates to a method for simulating a spectrum, in particular to a method for simulating a spectrum of a shadow object. Background technique [0002] Shadows are not only an important part of visible optical images, but also an important influencing factor in hyperspectral images. For example, the current research on hot spot effects, spectral scale research, and target recognition cannot ignore the influence of shadows. [0003] At present, there are few studies on the quantitative analysis and simulation of the spectrum of shadow objects, most of which are concentrated in the field of shadow detection, and the shadow detection methods are mainly concentrated on the detection based on statistical analysis and the detection based on comparative analysis, without deep spectral perspective. Do your research on shadows. At the same time, because the shadow intensity of different bands is greatly different due to the influence of the reflecti...

AI Technical Summary

Problems solved by technology

In the past, simple image features were used for shadow processing, the accuracy was not high, and the spectral information of the objects in the shadow could not be restored, and it was easy to miss the target, which directly affected the accuracy of hyperspectral simulation.

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