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Description: sar图像下基于hough变换的机场跑道识别系统，首先对图像进行了灰度缩放拉伸并进行了二值化分割和数学形态学滤波等预处理，再以改进的hough变换进行提取，系统完备-sar images hough transform based on the airport runway identification system, first of all, the gray-scale image zoom and a tensile binarization segmentation and mathematical morphology filtering, preprocessing, and then to improve the extraction of the hough transform, the system complete
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Size: 3072 |
Author: 张益搏 |
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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: 本文中研究了C波段极化合成孔径雷达（SAR）数据表面光滑的特性。-In this paper, we study surface slick characterization
in polarimetric C-band synthetic aperture radar (SAR) data. The
objective is to identify the most powerful multipolarization SAR
descriptors for mineral oil spill versus biogenic slick discrimina-
tion. A systematic comparison of eight well-known multipolariza-
tion features is provided. The analysis is performed on data that
we collected during a large-scale oil spill exercise at the Frigg fi eld
situated northwest of Stavanger, in June 2011. Controlled oil spills
and simulated look-alikes were simultaneously captured within
fi ne quad-polarization Radarsat-2 acquisitions during this exper-
iment. Multipolarization features derived only the copolar-
ized complex scattering coeffi cients are explored. We fi nd that
the two most powerful multipolarization features extracted from
this data set are the geometric intensity, measuring the combined
intensity based on the determinant of the coherency mat
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Size: 3734528 |
Author: 火焰山的兔八哥 |
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