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The Research on the Algorithms of Super-resolution Remote Sensing Image Reconstruction in Spectral Domain

Author: ChenXiangXin
Tutor: YaoGuoQing
School: Chinese Geology University (Beijing)
Course: Applied Computer Technology
Keywords: Super-resolution Spectrum solutions aliasing Wavelet Transform Fractal interpolation Phase correlation method
CLC: TP751
Type: Master's thesis
Year: 2008
Downloads: 187
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Abstract


In the 1960s , remote sensing technology as an emerging integrated detection technology flourishes. The remote sensing image processing technology is a very important content in remote sensing technology . Due to the imaging device hardware manufacturing technology , making the digital image obtained under-sampling of the ground information , which is not ideal for high-resolution image . On the other hand , due to the relative motion between the light atmosphere and platform and Earth , the imaging produce fuzzy and degradation , reducing image resolution . Improve the resolution of the remote sensing image has always been the pursuit of the goal of people , one of the effective ways to achieve this goal is the use of software -based signal processing method , the basic principle is the application of the same area multiple complementary information between the observed image is repeated , super-resolution reconstruction algorithm for reconstruction of high-resolution images . The main contents of this article is to super-resolution reconstruction frequency domain method to achieve spectrum solution the aliasing algorithms and wavelet fractal interpolation algorithm . Of the the spectrum aliasing effects and fractal theory 's role in the reconstruction process , the in-depth analysis . This paper first describes the course of development of the super-resolution reconstruction , development trends and their significance discussed the basic principles and feasibility analysis of the super-resolution reconstruction method . Next , focus on spectrum aliasing , both the theoretical basis of the frequency domain reconstruction method to achieve spectrum de - aliasing algorithm gives the image reconstruction model , and implementation and verification by experiment . After highlighting the wavelet theory and fractal theory , noting their superiority in the field of image analysis , and based on wavelet and fractal super-resolution image reconstruction algorithm , and the use of the low-resolution image of the test simulation to validate . The reconstruction results show that the algorithm is whether subjective visual objectively have achieved good results . End of the paper on the topic summary and outlook .

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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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