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Description: Automatic target detection in SAR image is the first stage in the ATR (Automatic Target Recognition) system. It is very important to improve the computing efficiency of the whole system. A conventional automatic target detection method is CFAR (constant false alarm rate) which is based only on the amplitude, discards the phase and thereby sacrifices half information of the SAR imagery. Almost each CFAR brings a large number of false alarms. 2L-IHP (two-look internal Hermitian product) is a new method which exploits the phase and amplitude information. In this paper, both CFAR and 2L-IHP algotithms are compared with an emphasis on 2L-IHP. The 2L-IHP algorithm for target detection is discussed briefly first. In order to apply it widely, it is modified to circumvent the constraint of the data. For polarimetric SAR images, PWF (Polarimetric Whitening Filter) is used to generate an image for target detection. According to ADTS data set, these algorithms are analyzed and evaluated respectively. C-、L- and P- band AIRSAR data are also processed, and some tentative conclusions are derived: Considering the penetrating ability of the microwave, L-band got the best detection accuracy of the three bands; HH polarization performed better for target detection than VV and HV polarization; Moreover, because more information is contained in polarimetric SAR data, here, we conclude that polarimetric SAR data have advantages over single polarized SAR data when they are applied for target detection. But all these conclusions need further validation.
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Size: 288371 |
Author: xbtown@126.com |
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Description: 画缓和曲线并标注曲线要素，欢迎大家试用。是源代码-Painting and marking curve curve elements, welcomed the U.S. trial. Is the source code
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Size: 2048 |
Author: wbt |
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Description: 【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法， 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非
高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示
分离效果良好。-Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy and how to measure its cost function for mixed-signal of the non-Gaussian. Described in detail based on the fixed-point Negentropy criteria and simplify the algorithm. Experiment to select three non-Gaussian vector as a signal source separation Ma tlab simulation results showed good separation efficiency.
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Size: 141312 |
Author: 金振东 |
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Description: h=zeros(L,sNum)
Power1=zeros(L,sNum)
h(Delay+1,:)=channel 表示的是第Delay+1行的元素 此行代码的意思是：将channel的第一行赋值飞h的第1行，将channel的第2行赋值给h的4行，以此类推
把channel（L*Symbolnum）的L行（即5行）依次赋给h对应的(Delay+1)5行。
h变成Delay+1*sNum；9*100
Power1(Delay+1,:)=repmat(Power. ,1,sNum) repmat函数是将Power. 看做一个整体（看做是一个元素），最后扩展成L*sNum的矩阵 9*100
hh=sqrt(Power1).*h
h0=hh(:,1) 第1列
********以上hh是信道矩阵，h0是初试信道，信道- h=zeros(L,sNum)
Power1=zeros(L,sNum)
h(Delay+1,:)=channel 表示的是第Delay+1行的元素 此行代码的意思是：将channel的第一行赋值飞h的第1行，将channel的第2行赋值给h的4行，以此类推
把channel（L*Symbolnum）的L行（即5行）依次赋给h对应的(Delay+1)5行。
h变成Delay+1*sNum；9*100
Power1(Delay+1,:)=repmat(Power. ,1,sNum) repmat函数是将Power. 看做一个整体（看做是一个元素），最后扩展成L*sNum的矩阵 9*100
hh=sqrt(Power1).*h
h0=hh(:,1) 第1列
********以上hh是信道矩阵，h0是初试信道，信道
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Size: 2048 |
Author: 杰 |
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Description: j oj ooj oj hii hh ii o o o j jo o j(k l op9 ii i u ji ioo oo o l o)
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Size: 238592 |
Author: MHB7231 |
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