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Passive millimeter wave imaging technology based on the model of the spatially variable

Author: DengLin
Tutor: WangJianGuo
School: University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Passive Millimeter Wave Imaging Spatial variation model Point spread function estimation Image Restoration Super-resolution algorithm
CLC: TP72
Type: Master's thesis
Year: 2009
Downloads: 146
Quote: 3
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Abstract


Passive millimeter wave imaging system uses electromagnetic radiation energy difference of the target and background imaging . Since both infrared and microwave , millimeter wave characteristics , so as to form a unique penetrate clouds , smoke , dust , and other work in harsh conditions performance . Passive millimeter wave imaging is commonly used single- antenna beam the mechanical scanning mode , there are not high resolution and lower sensitivity less than the law . In recent years, with the rapid development of millimeter wave solid-state devices and signal processing technology , passive millimeter wave high-resolution imaging technology development is very rapid , millimeter wave focal plane array imaging multibeam technology late 1980s the imaging accuracy , greatly improve the real-time , and gradually began to be used on military and civilian fields . This paper first discusses the general principles and theories of passive millimeter wave imaging , and describes the history of its development and application prospects ; Secondly, the working mechanism of the combination of passive millimeter wave focal plane imaging system , the model of the imaging system , in this model on the basis of the imaging results obtained through simulation experiments ; then , in-depth study of passive millimeter wave imaging system spatial variations and quantitative description of the spatial variations passive millimeter wave imaging system space changes mathematical model , proposed ellipsoidal projection transformation program , successful correction of geometric distortion of the imaging result of the point spread function , combined with data fitting method to estimate the point spread function , perfect super-resolution imaging process flow , working for subsequent image processing laid the foundation ; Finally, the principle of passive millimeter wave image degradation analysis , the classic image restoration and super-resolution algorithm is applied to an empty variable model under passive millimeter wave image processing , and a new non-linear sexual spectrum extrapolation enhancement algorithms , passive millimeter wave image test , the effect is significant .

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