Aerial remote sensing image data radiant correction method

Abstract

The invention belongs to the remote sensing image data technology field, especially relates to an aerial remote sensing image data radiant correction method. The invention discloses the aerial remote sensing image data radiant correction method, to be specific, discloses a mountainous area high resolution remote sensing image radiant correction method based on moment matching. The aerial remote sensing image data radiant correction method comprises steps that a Sandmeier model is used to analyze and calculate acquired solar global radiation of every ground pixel from three aspects, namely, solar direct radiation, sky radiation, and radiation additionally provided by adjacent terrain reflection, which are received from the ground, and a secondary correction method is adopted for assistance based on a main correction method, and therefore the most accurate result is acquired. The aerial remote sensing image data radiant correction method is advantageous in that a difference between a target measuring value and target spectral reflectivity or spectral radiance or other physical quantities caused by the own conditions of the sensor, atmospheric conditions, and solar position and angle conditions and other inevitable noises is eliminated.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image data, in particular to a radiation correction method for aerial remote sensing image data. Background technique [0002] In recent years, with the development of aerospace technology, computer technology, satellite positioning technology and geographic information technology, remote sensing has become the basic technology of geospatial information science, and remote sensing image data is widely used in many fields of human life. [0003] However, in remote sensing imaging, due to the influence of various factors, there will be certain radiation distortion in remote sensing images, which affects the quality and application of images. Especially in mountainous areas with complex terrain, the solar radiation received by the surface is seriously affected by terrain factors, which causes radiation distortion problems in pixels with different slopes and slopes, which increases the difficul...

AI Technical Summary

Problems solved by technology

[0003] However, in remote sensing imaging, due to the influence of various factors, there will be a certain amount of radiation distortion in remote sensing images, which affects the quality and application of images.

Especially in mountainous areas with complex terrain, the solar radiation received by the surface is seriously affected by terrain factors, which causes radiation distortion problems in pixels with different slopes and slopes, which increases the difficulty of extracting spectral information of ground objects and hinders remote sensing images. Further analysis and processing of data