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Research on Radiomeric Correction and Adjacency Effect Removal of Remote Sensing Images

Author: JiaoHaiBin
Tutor: ZhangJunPing
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: atmospheric radiation correction adjacency effect quantitative remote sensing Atmospheric radiative transfer models
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 134
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Abstract


In the process of remote sensing imaging, sensors received the radiance from the ground whose range and spectral distribution would be changed because of the interaction with the atmosphere in the process of transmission, so the sensors can not record the real information of the target, which affects the remote sensing quantitative data analyzing, feature extraction, spectral reconstruction and so on. So atmospheric correction is an important and urgent issue and it becomes the key Technology in remote sensing quantification.This paper describes an atmospheric correction method by using atmospheric radiative transfer model based on the atmospheric radiative transfer theory:To achieve atmospheric correction based on the radiative transfer model, it is the key factor that the accurate analysis of ground surface characteristics to solve radiation transmission in the atmosphere and the surface’s coupled system. In this paper, five kinds of ground surface characteristics conditions are analyzed and discussed, and atmospheric radiation transfer equations are established under the different surface conditions.For non-homogeneous surface characteristics and atmospheric scattering which lead to adjacency effect problem in satellite imaging, this paper analyze and remove of adjacency effect quantitatively by solving the atmospheric point spread function. Using Monte Carlo method to get the atmospheric point spread function, not only solve the atmospheric radiation transfer equation more accurately, but also reduce and simplify the large amount calculation and complex computation when solving radiative transfer equation by using the traditional methods.It is another key factor that to obtain accurate atmospheric parameters which affect the accurate solution of atmospheric radiative transfer equation based on the atmospheric radiative transfer mode. By using the dark-object method and 6S atmospheric radiative transfer model, an inversion method for getting the aerosol optical thickness is developed in this paper, and it improve the correctional accuracy when using the radiative transfer model.This paper presents a modular easy-engineering program of atmospheric radiation correction. The program use MODTRAN atmospheric radiative transfer model as a look-up table creation tools, select the parameters of the atmosphere, aerosol optical thickness and the adjacency effect of removed as a key factor to research, analysis and carry out in remote sensing imagery, respectively. And after correction, this paper verifies the validity of the correction program. by analyzing characteristics of the typical spectral features.

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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