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Research Of Visible Spectrum Images Simulation Algorithm In SETE System

Posted on:2012-07-26Degree:MasterType:Thesis
Country:ChinaCandidate:G K WangFull Text:PDF
GTID:2178330332995248Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Space remote sensing image simulation is a cross-disciplinary theory and systematic project, which involves remote sensing science, computer science, physics and other fields of knowledge. Simulation of space remote sensing images integrated platform SETE (Simulating Earth To Earth) is the CAS Knowledge Innovation Program of (kzcx2-yw-303), aims to study the radiation characteristics of surface features, atmospheric transport models, remote sensor model, development of key technologies and scientific research system, based on the initial establishment of a specialized space remote sensing image simulation system architecture, complete the design parameters based on remote sensing, earth and atmospheric conditions environmental background of any band combination of space remote sensing images of the simulation work remote sensor design parameters and then demonstrate the rationality and effectiveness.This system covers the space remote sensing satellites to detect the entire wavelength range, including visible light, infrared, hyperspectral, and SAR in four major areas of the simulation work. In this paper, visible image simulation, for example, based on space remote sensing satellite imagery, thought processes and all the links, focuses on the process of atmospheric radiative transfer and surface albedo of vegetation generated algorithms and models, through the use of component-based development method improved the atmospheric radiation Transmission and reflectance generated implementation process, not only completed the visible light image simulation, but also through the development of reusable components for other aspects of the advantages of simulation work has laid a foundation, but also conducive to the cause of the national results of the work space remote concise, precipitation And inheritance. The main work in the following areas:Firstly, in-depth study of atmospheric radiative transfer theory based on the detailed analysis of the atmospheric radiative transfer model parameters MODTRAN4 structure and software structure, a new atmospheric radiative transfer based MODTRAN4 process, and use component technology in detail Interface design and implementation.Secondly, Of the typical vegetation spectral data and radiation signal generation algorithm, mixed pixel spectral data generation algorithm and complex terrain surface features under the conditions of radiation model to vegetation leaf area index for the input, the establishment of a visible image generating algorithm for simulation of surface reflectance process simulation and component development. Thirdly, the system successfully used in the SETE the designed components of the atmospheric radiation transfer and surface albedo simulation generation process to achieve vegetation leaf area index based on all links of visible image simulation.
Keywords/Search Tags:Atmospheric radiative transfer, surface albedo, MODTRAN4, components
PDF Full Text Request
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