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Automated Extraction of Control Points Based on SAR Image Simulation

Author: RenZuoRong
Tutor: WangRenLi
School: PLA Information Engineering University
Course: Environmental Engineering
Keywords: Synthetic Aperture Radar Image simulation Image matching Small surface element model Scale Invariant Feature Transform
CLC: TN957.52
Type: Master's thesis
Year: 2009
Downloads: 58
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Abstract


DEM simulation of a synthetic aperture radar ( SAR ) images , analog image with the real image matching to select control points SAR Directional parameter is an effective way to solving automation . This paper focuses on the SAR image simulation and matching techniques , the main research and innovations are as follows : 1. Introduces the basic theory of the SAR image simulation , including SAR images digital imaging principle , structure - like model , geometric characteristics and radiation characteristics . Analysis and summarizes the existing SAR image simulation - the coherent simulation method and incoherent simulation method , and demand is automatically selected based on the control points , incoherent introduced into the small surface element model based on the geometric characteristics and the simulation of the radiation characteristics of the image to simulate a more realistic effect . Use of ERS SAR image simulation experimental data corresponding mountainous regions . Simulation image has a great similarity with the real image , and has good texture features . Analog image with the real image differences , using a scale invariant feature transform SIFT algorithm , and an improved image two - way matching strategy , two-way matching simulated SAR image and real SAR images , removing the unstable feature point matching , matching to achieve a better effect .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission
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