Remote sensing image terrain standardization method
A remote sensing image and terrain technology, applied in the field of remote sensing, can solve the problems that cannot truly reflect the surface conditions
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2015-08-12
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
Description
technical field
[0001] The invention belongs to the technical field of remote sensing and relates to a method for standardizing remote sensing image topography. Background technique
[0002] Surface albedo is an important factor affecting surface short-wave net radiation, and high-resolution remote sensing images have become an important data source for albedo (Albedo) inversion. However, remote sensing observations are not only affected by atmospheric optical factors such as water vapor and aerosols, but also by terrain factors such as slope, aspect, terrain shading, sky visibility factors, and surface bidirectional reflectance fraction function (BRDF) or sun-surface- The influence of the geometric relationship of the sensor cannot truly reflect the surface conditions. Therefore, terrain standardization of remote sensing images has become a necessary preprocessing method for accurate inversion of surface Albedo. It is used to simultaneously eliminate or reduce atmospheric ...
Examples
Embodiment Construction
[0056] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0057] 1. Model method
[0058] 1. The principle of remote sensing image terrain standardization
[0059] like figure 1 As shown, the radiance of the top of the atmosphere (TOA) obtained by the satellite sensor L TOP ( lambda ) consists of two parts: path radiation L p ( lambda ) and radiation reflected from the surface L ( lambda ),which is:
[0060] L TOP ( lambda )= L p ( lambda )+ L ( lambda ) T ( lambda , θ ν ) (1)
[0061] In the formula: T ( lambda , θ ν ) represents the atmospheric transmittance in the observation direction of the sensor, and is the observation zenith angle of the sensor θ ν and a function of wavelength λ. Path radiation is mainly determined by Rayleigh scattering and aerosol scattering, and the specific calculation can refer to literature (Li et al., 2002). ...