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Image Degradation and Restoration of Central Obscuration Optical Remote Sensing System

Author: XieDingJie
Tutor: LiQi；FengHuaJun
School: Zhejiang University
Course: Optical Engineering
Keywords: Image processing Modulation transfer function compensation Tilt blade edge Central obscuration Cassegrain system
CLC: TP751
Type: Master's thesis
Year: 2011
Downloads: 92
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Abstract


Home and abroad on the high-resolution remote sensing satellite imaging optical system are mainly the coaxial reflection and off-axis reflective two categories. Coaxial system with a compact, easy-to-many advantages of high precision machining and alignment, system stability, has become the most frequently used on satellite remote sensing, the most mature of the system. Coaxial counter 'secondary mirror of the beam optical system occlusion problem, however, reduces the effective aperture of the optical system, the modulation transfer function of the optical system (Modulation Transfer Function, MTF) in the band marked decline, affecting the captured remote sensing the quality of the image, which became restricting the the coaxial reflective systems to the further development of the technology bottleneck. In this paper, the system of central obscuration band degraded image restoration problem to carry out the research work. Modulation transfer function compensation (Modulation Transfer Function Compensation, MTFC) technology has been widely applied in the countries high resolution earth observation satellite remote sensing image processing. Modified Cassegrain optical system, for example, study a the central obscuration remote imaging system MTFC technology. Design and processing of the subject a 2m focal length modified Cassegrain optical system, the the tilt blade edge extraction degradation function, simulation and real film degraded image recovery image restoration algorithm, and using a variety of objective image evaluation function The recovery results were evaluated. Simultaneous analysis of different noise masking than the case, different types of remote sensing image restoration effect. Recovery algorithms and sparse compared different recovery algorithms and evaluation methods by simulation experiments, Lucy-Richardson deconvolution algorithm, respectively, achieved good results in the noise-free image and noise image restoration. Have reference type evaluation method the gradient the ringing evaluation method (GRM) with regional rights weight and the two evaluation function of the human visual system evaluation (HVSWGM) accurately reflect improving the quality of the restored image GRM evaluation function evaluation results show that by MTFC technology, image quality and the improvement of 10% -20%. Reference type evaluation function is the most accurate results of the evaluation of the average gray-scale gradient evaluation method (GMG). Through different masking than image restoration experiments prove that the obscuration ratio of 60%, this method has obvious effect. Real shot experimental results further validate the above conclusions. These results jointly indicate that the the MTFC technology is applied to the central obscuration system has a significant role to make up for the loss of image quality caused by the secondary mirror obscuration, improve image quality.

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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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