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The MTF calculation and analysis of satellite remote sensing image based

Author: CaiXinMing
Tutor: GuYiHe
School: Nanjing University of Technology and Engineering
Course: Applied Computer Technology
Keywords: Remote sensing image MTF Blade method Pulse method Noise
CLC: TP751
Type: Master's thesis
Year: 2007
Downloads: 657
Quote: 7
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Abstract


Use in - orbit satellite remote sensing image information changes in the performance of the remote sensor is an important way for dynamic monitoring of remote sensing satellites in orbit , this area has become an international research hotspot . Domestic along with a series of high - resolution remote sensing satellites have been put into use , more and more attention has also been in-orbit imaging performance of their remote sensor monitoring problem . In the field of remote sensing applications , the modulation transfer function (MTF) is important comprehensive evaluation of remote sensing optical imaging system . Imaging system MTF will directly affect the quality of image quality : MTF is lower , and the edge of the remote sensing image texture and other details will become blurred . Remote sensor satellites in orbit , due to the impact of adverse factors satellite launch, orbit to keep the process repeatedly attitude adjustment , space radiation , the impact of the temperature difference between day and night , the imaging performance of the remote sensor will gradually decline , the remote sensing image quality will gradually worse. Monitoring of in -orbit satellite remote sensor MTF for in orbit satellite remote sensing applications has extremely important significance . Starting from the basic principles of the MTF describes several methods based on remote sensing image calculated MTF . And then focuses on the blade , pulse method to calculate MTF to explore . The detailed discussion of the data sampling , interpolation and fitting, as well as the extraction of the line spread function , and ultimately obtain the MTF . Many factors affect the MTF choose the actual satellite remote sensing image in this article or make a simulated target image interpolation algorithm calculated subgraph pull take , as well as effects of noise and other factors were experimental analysis and discussion .

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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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