Description: 文章介绍了合成孔径雷达图象处理的各种方法.斑点噪声的去除,图象分割的算法,以及压缩,去噪等内容.大家可以共同参考.-article on the synthetic aperture radar image processing of the various methods. Speckle removal, Image segmentation algorithms, and compression, such as denoising. We can common reference. Platform: |
Size: 2577094 |
Author:单昊 |
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Description: 文章介绍了合成孔径雷达图象处理的各种方法.斑点噪声的去除,图象分割的算法,以及压缩,去噪等内容.大家可以共同参考.-article on the synthetic aperture radar image processing of the various methods. Speckle removal, Image segmentation algorithms, and compression, such as denoising. We can common reference. Platform: |
Size: 2576384 |
Author:单昊 |
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Description: 合成孔径雷达图象处理的各种方法.斑点噪声的去除,图象分割的算法,以及压缩,去噪等内容.大家可以共同参考.-Synthetic aperture radar image processing methods. Speckle noise removal, image segmentation algorithm, as well as compression, denoising, etc.. We will be able to reference. Platform: |
Size: 36864 |
Author:杨红磊 |
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Description: ：提出针对单极化合成孔径雷达(SAR)图像相干斑滤波算法性能的分层检验模型和综合评价
方法。模型分相干斑抑制程度和目标微波后向散射系数保持程度两个层次，包含的指标有等效视数、信号
杂渡比、回波辐射度损失、均值偏差、空间分辨率损失和峰值旁瓣比偏差六项-: Unipolar against synthetic aperture radar (SAR) image speckle filtering algorithm hierarchical test model performance and integrated evaluation. Model sub-speckle suppression and objectives of the degree of microwave backscattering coefficient to maintain the level of two levels, including the indicators have the equivalent depending on the number of signals crossing miscellaneous ratio, radiometric echo loss, the mean deviation, loss of spatial resolution and peak sidelobe than the deviation of the six Platform: |
Size: 400384 |
Author:wgn |
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Description: 空载合成孔径雷达系统的研制过程中常需要对某些关键算法和功能原理进行验证，而这些验证用的数据
又不可能完全通过代价昂贵的实际飞行获得，因此通过半实物仿真和信号模拟来获得所需的目标回波数据成为一个有效
的解决手段。-Synthetic Aperture Radar (SAR) simulator of an extended three-dimensional scene is presented. It is based on a facet model for the scene, asymptotic evaluation of SAR unit
response, and two-dimensional fast Fourier transform (FFT) code
for data processing. Prescribed statistics of the model account for
a realistic speckle of the image. The simulator is implemented in a code (SARAS) whose performance is described and illustrated by a number of examples. Platform: |
Size: 1202176 |
Author:nico |
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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 Platform: |
Size: 897024 |
Author:周二牛 |
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Description: 本文提出了一种新的自动换合成孔径雷达（SAR）时间序列检测技术，即广义有序序列分析方法。-This paper presents a new automatic change de-
tection technique for synthetic aperture radar (SAR) time se-
ries, i.e., Method for generalIzed Means Ordered Series Analysis
(MIMOSA). The method compares only two different temporal
means between the amplitude images, whatever the length of the
time series. The method involves three different steps: 1) estima-
tion of the amplitude distribution parameters over the images
2) computation of the theoretical joint probability density function
between the two temporal means and 3) automatic thresholding
according to a given false alarm rate, which is the only change
detection parameter. The procedure is d with a very low
computational cost and does not require any spatial speckle fi lter-
ing. Indeed, the full image resolution is used. Due to the temporal
means, the data volume to process is reduced, which is very help-
ful.Moreover, the two means can be simply updated using the new
incoming images only. Thus, the full Platform: |
Size: 2184192 |
Author:火焰山的兔八哥 |
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Search - speckle synthetic aperture radar