基于壓縮感知的毫米波成像圖像重構(gòu)研究
發(fā)布時間：2019-05-05 09:02
【摘要】：毫米波成像可用于安檢、飛機盲降、戰(zhàn)場環(huán)境成像等領(lǐng)域,是當前的研究熱點。目前,被動毫米波成像系統(tǒng)多采用多通道掃描體制實現(xiàn)快速成像,但存在通道一致調(diào)試較難以及成本較高等問題。本文嘗試結(jié)合壓縮感知理論,完成單通道被動毫米波編碼成像系統(tǒng),主要圍繞編碼和圖像重構(gòu)方法等開展研究,主要工作如下。(1)完成了毫米波單通道編碼成像方案的設(shè)計。在分析被動毫米波成像機理的基礎(chǔ)上,對單通道編碼成像的光路進行了分析、計算和設(shè)計,結(jié)合壓縮感知理論,建立了毫米波單通道編碼成像數(shù)學分析模型。(2)完成了基于LDPC碼校驗矩陣的毫米波單通道成像編碼模板設(shè)計。在分析比較Hadamard矩陣、循環(huán)S矩陣等幾種典型測量矩陣基礎(chǔ)上,結(jié)合實際工程實現(xiàn)的需求,提出采用基于PEG—準循環(huán)構(gòu)造法的LDPC碼校驗矩陣作為編碼模板的測量矩陣,仿真結(jié)果驗證了其滿足壓縮感知測量矩陣的基本條件并相較其它方法具備重構(gòu)性能優(yōu)、結(jié)構(gòu)性強、可循環(huán)性的優(yōu)勢,同時完成了實際基于LDPC碼校驗矩陣作為編碼模板的硬件設(shè)計。(3)采用TV正則化的結(jié)構(gòu)聚類超分辨圖像重構(gòu)算法實現(xiàn)單通道編碼成像的圖像重構(gòu)。在深入研究多種基于壓縮感知圖像重構(gòu)方法基礎(chǔ)上,重點研究稀疏表示下毫米波圖像的超分辨率重構(gòu),對比聯(lián)合K-SVD字典的稀疏表示方法和結(jié)構(gòu)類聚方法的重構(gòu)性能,并在結(jié)構(gòu)類聚超分辨方法基礎(chǔ)上采用TV正則優(yōu)化對算法進行優(yōu)化,仿真結(jié)果驗證了該方法的有效性。
[Abstract]:Millimeter wave imaging, which can be used in security inspection, aircraft blind landing, battlefield environment imaging and so on, is a hot research topic at present. At present, many passive millimeter wave imaging systems use multi-channel scanning system to realize fast imaging, but there are some problems such as the difficulty of channel uniform adjustment and the high cost of passive millimeter wave imaging system. This paper attempts to complete a single-channel passive millimeter-wave coded imaging system based on compression sensing theory, mainly focusing on coding and image reconstruction methods, and so on. The main work is as follows. (1) the design of millimeter wave single channel coding imaging scheme is completed. On the basis of analyzing the mechanism of passive millimeter wave imaging, the optical path of single channel coded imaging is analyzed, calculated and designed, combined with compression sensing theory. The mathematical analysis model of millimeter-wave single-channel coding is established. (2) the design of millimeter-wave single-channel imaging coding template based on LDPC code check matrix is completed. Based on the analysis and comparison of several typical measurement matrices, such as Hadamard matrix and cyclic S matrix, combined with the requirements of practical engineering implementation, the LDPC code check matrix based on PEG- quasi-cyclic construction method is proposed as the measurement matrix of coding template. The simulation results show that it satisfies the basic conditions of compressed sensing measurement matrix and has the advantages of better reconstruction performance, stronger structure and circularity than other methods. At the same time, the hardware design based on LDPC code check matrix is completed. (3) using TV regularization structure clustering super-resolution image reconstruction algorithm to realize the single-channel coded image reconstruction. On the basis of deep research on many kinds of compressed perceptual image reconstruction methods, the super-resolution reconstruction of millimeter-wave images based on sparse representation is studied in detail. The performance of the sparse representation method combined with K-SVD dictionary and the structure clustering method are compared. On the basis of the structure clustering super-resolution method, TV regular optimization is used to optimize the algorithm. The simulation results show that the proposed method is effective.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41
本文編號：2469437
[Abstract]:Millimeter wave imaging, which can be used in security inspection, aircraft blind landing, battlefield environment imaging and so on, is a hot research topic at present. At present, many passive millimeter wave imaging systems use multi-channel scanning system to realize fast imaging, but there are some problems such as the difficulty of channel uniform adjustment and the high cost of passive millimeter wave imaging system. This paper attempts to complete a single-channel passive millimeter-wave coded imaging system based on compression sensing theory, mainly focusing on coding and image reconstruction methods, and so on. The main work is as follows. (1) the design of millimeter wave single channel coding imaging scheme is completed. On the basis of analyzing the mechanism of passive millimeter wave imaging, the optical path of single channel coded imaging is analyzed, calculated and designed, combined with compression sensing theory. The mathematical analysis model of millimeter-wave single-channel coding is established. (2) the design of millimeter-wave single-channel imaging coding template based on LDPC code check matrix is completed. Based on the analysis and comparison of several typical measurement matrices, such as Hadamard matrix and cyclic S matrix, combined with the requirements of practical engineering implementation, the LDPC code check matrix based on PEG- quasi-cyclic construction method is proposed as the measurement matrix of coding template. The simulation results show that it satisfies the basic conditions of compressed sensing measurement matrix and has the advantages of better reconstruction performance, stronger structure and circularity than other methods. At the same time, the hardware design based on LDPC code check matrix is completed. (3) using TV regularization structure clustering super-resolution image reconstruction algorithm to realize the single-channel coded image reconstruction. On the basis of deep research on many kinds of compressed perceptual image reconstruction methods, the super-resolution reconstruction of millimeter-wave images based on sparse representation is studied in detail. The performance of the sparse representation method combined with K-SVD dictionary and the structure clustering method are compared. On the basis of the structure clustering super-resolution method, TV regular optimization is used to optimize the algorithm. The simulation results show that the proposed method is effective.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41
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