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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: CEOS-SAR-PRI数据格式,对于使用SAR进行数据处理,辐射校正等有帮助.可以了解卫星数据的详细信息.-CEOS- SAR-PRI data format for the use of SAR data processing, correction for help. satellite data can understand the details.
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Size: 12288 |
Author: gaxlin |
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Description: 关于合成孔径雷达一个很好的PPT,是学习SAR一个很好的东东,欢迎下载学习.-Synthetic aperture radar on a good PPT, is a very good learning SAR Dongdong, welcome to download learning.
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Size: 311296 |
Author: lwwww |
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Description: SAR雷达模拟的PPT，讲述SAR雷达回波模拟的具体原理，实现方法，和仿真结果-SAR
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Size: 920576 |
Author: gaoxin |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the
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Size: 897024 |
Author: 周二牛 |
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Description: 多通道SAR-GMTI通道盲均衡算法.PFF多通道SAR-GMTI通道盲均衡算法.P-Channel Blind Equalization Algorithm for Multi-channel SAR/GMTI System
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Size: 293888 |
Author: xiaowang |
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Description: 功能[DATAOUT]= PGA（DATAIN），执行相位梯度
％ISAR自动对焦。
％
％DATAIN ISAR范围内的实时数据。
DATAOUT％范围内的实时数据已被删除平移
％相位误差。
％
％参考：
％D.E.瓦尔，P.H.艾歇尔，特区吉利亚，C.V. Jakowatz，“相
％梯度自聚焦一个强大的工具，用于高分辨率SAR相
％修正“，硕士论文。航空。＆电子系统，第30卷，3，1994。-function [dataout]=PGA(datain) performs phase gradient
autofocus of ISAR.
datain is range-time data of ISAR.
dataout is range-time data that have been removed translational
phase error.
Reference:
D.E. Wahl, P.H. Eichel, D.C. Ghiglia, C.V. Jakowatz, "Phase
gradient autofocus-a robust tool for high resolution SAR phase
correction," IEEE Trans. Aero. & Elec. Sys., vol. 30, no. 3, 1994.
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Size: 1024 |
Author: laureatew |
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