Commonly Used Correction Model Comparison, Improvement and Precision Analysis of Radiation Remote Sensing Image

Xiao Li Liu

doi:10.4028/www.scientific.net/AMR.998-999.1013

Paper Titles

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Two Conclusions of Points Produced by Incremental Sub-Gradient Method for the Non-Differentiable Optimal Problem in Hilbert Space
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An Application of Computer Image Processing Technique to Decoration Pattern Design
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Commonly Used Correction Model Comparison, Improvement and Precision Analysis of Radiation Remote Sensing Image
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Efficient Multi-Scale Registration of 3D Reconstructions Based on Camera Center Constraint
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Identifying Abbreviations in Biomedical Literature Based on Maximum Entropy with Web Features
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Learning Object Groups for Scene Recognition
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Prediction of Aero Engine Fault by Relative Vector Machine and Genetic Algorithm Model
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Commonly Used Correction Model Comparison, Improvement and Precision Analysis of Radiation Remote Sensing Image

Abstract:

Remote sensing image radiation correction is a key technique for quantitative remote sensing data processing is essential, especially in the surface undulating mountains, surface radiation affected by topography, the radiation correction of remote sensing inversion error can reduce the surface information, so as to maximize the accuracy of remote sensing investigation of mountain area. In this paper, the ETM image in mountain area of Western Beijing as an example, application of cosine correction model and Sandmeier correction model of image are topographic radiation correction, and then proposed an improved Sandmeier correction model, and carries on the precision analysis from the visual effect and quantitative parameters. Experiments show that, the improved Sandmeier correction model eliminates the influence of topography, greatly improving the accuracy of remote sensing image Topographic Radiation correction.