搜索结果: 1-15 共查到“工学 PolSAR”相关记录15条 . 查询时间(0.359 秒)
THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE
Low Backscattering Objects Bag of Words SIFT features Support Vector Machine
2018/5/16
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
A METHOD OF TIME-SERIES CHANGE DETECTION USING FULL POLSAR IMAGES FROM DIFFERENT SENSORS
PolSAR time-series change detection omnibus statistic test generalized Gaussian mixture model (GGMM) different sensors
2018/5/15
Most of the existing change detection methods using full polarimetric synthetic aperture radar (PolSAR) are limited to detecting change between two points in time. In this paper, a novel method was pr...
POLARIMETRIC SIGNATURES IDENTIFICATION FOR DIFFERENT FEATURES IN RADARSAT-2 POLSAR IMAGE:A CASE STUDY OF HALAYIB AREA,EGYPT
Radarsat-2 PolSAR Polarimetric signatures Pauli decomposition Co-polarization and cross-polarization signature
2016/11/24
In fully polarized SAR (PolSAR) data the returned signal from a target contains all polarizations. More information about this target may be inferred with respect to single-polarization. Distinct pola...
UNSUPERVISED WISHART CLASSFICATION OF WETLANDS IN NEWFOUNDLAND,CANADA USING POLSAR DATA BASED ON FISHER LINEAR DISCRIMINANT ANALYSIS
Polarimetric Synthetic Aperture Radar (PolSAR) Unsupervised Wishart Classification Fisher Linear Discrimination Feature Weighting
2016/11/23
Polarimetric Synthetic Aperture Radar (PolSAR) imagery is a complex multi-dimensional dataset, which is an important source of information for various natural resources and environmental classificatio...
Object-oriented change detection based on weighted polarimetric scattering differences on POLSAR images
Object-oriented change detection Polarimetric scattering difference Polarimetric synthetic aperture radar
2015/7/27
For wide application of change detection with SAR imagery, current processing technologies and methods are mostly based on pixels. It is difficult for pixel-based technologies to utilize spatial chara...
HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE
PolSAR Classification Feature Selection GA SVM
2014/4/24
This paper focuses on backscattering mechanisms selection and supervised classification works for CETC38-X PolSAR image.
Thanks to the high radar resolution, many classes of man-made objects are vis...
基于分层MRF模型的POLSAR图像分类算法
分类 均值漂移 马尔科夫随机场 Wishart分布
2013/5/17
针对多极化合成孔径雷达（polarimetric synthetic aperture radar, POLSAR)影像由于受到相干斑噪声影响导致分类精度较低,提出了一种基于均值漂移和多尺度马尔科夫随机场的非监督分类算法。该算法首先由Mean-Shift算法得到最粗尺度的初始分类结果,然后由马尔科夫随机场对结果进行优化得到最粗尺度最终分类结果。将上一尺度的分类结果映射到下一尺度作为初始分类结果,然...
PolSAR图像的两级分块最优加权滤波方法
相干斑抑制 两级分块 边缘保持
2013/5/24
针对多极化合成孔径雷达（polarimetric synthetic aperture radar, PolSAR）图像的相干斑抑制问题,提出一种两级分块的最优加权滤波方法。该方法在分块加权法的块处理基础上,采用边缘检测模板对非同质类子块进行二次分类和处理,提高了滤波参数的估计精度。实验结果表明,该方法不仅保持了块处理简单、运算量小的优点,而且在斑点抑制和边缘保持方面更优于最优加权法和分块加权法。
针对多极化合成孔径雷达（polarimetric synthetic aperture radar, POLSAR)影像由于受到相干斑噪声影响导致分类精度较低,提出了一种基于均值漂移和多尺度马尔科夫随机场的非监督分类算法。该算法首先由Mean-Shift算法得到最粗尺度的初始分类结果,然后由马尔科夫随机场对结果进行优化得到最粗尺度最终分类结果。将上一尺度的分类结果映射到下一尺度作为初始分类结果,然...
PolSAR图像的两级分块最优加权滤波方法
多极化合成孔径雷达 相干斑抑制 两级分块 边缘保持
2013/8/19
针对多极化合成孔径雷达（polarimetric synthetic aperture radar, PolSAR）图像的相干斑抑制问题,提出一种两级分块的最优加权滤波方法。该方法在分块加权法的块处理基础上,采用边缘检测模板对非同质类子块进行二次分类和处理,提高了滤波参数的估计精度。实验结果表明,该方法不仅保持了块处理简单、运算量小的优点,而且在斑点抑制和边缘保持方面更优于最优加权法和分块加权法。
基于自动筛选的POLSAR图像快速相干斑抑制算法
POLSAR图像 相干斑抑制 散射相似性
2013/8/23
针对现有POLSAR图像相干斑抑制算法存在的问题，本文提出了一种基于像素筛选的快速类多视平均相干斑抑制新算法。该算法以一个矩形滑动窗对POLSAR图像进行逐点扫描，对每一个当前测试像素，首先判断它是否为点、线目标，若是则直接进入下一个测试像素；其次，若不是，则对当前滑动窗内像素进行筛选；最后，利用筛选出的与当前测试像素的主散射机制相同的均匀区像素来对当前测试像素进行LLMMS滤波。由于该算法基于最...
基于球面散射相似性的POLSAR图像分类方法
目标相似性测度 目标散射特征提取 分布式目标
2013/8/23
针对基于H-Alpha平面的目标分类方法运算量偏大的问题，本文研究了基于散射相似性的极化合成孔径雷达（POLSAR）图像分类。首先在分析现有目标散射相似性度量参数的不足基础上，利用目标相干矩阵定义了目标散射相似性的新度量参数。该参数综合考虑了目标主散射机制、次要散射机制与规范目标的相似性，以及不同散射机制对应的发生概率，因而它能准确反映目标与规范目标的散射相似程度。接着，考虑到表面散射在自然界中是...
提出了一种多视极化合成孔径雷达（PolSAR）图像的迭代分类方法。首先利用极化G0分布描述多视极化协方差矩阵的统计特性，并进行初始的最大似然分类，然后利用马尔可夫随机场（MRF）估计像素类标号的先验概率，最后根据MAP（最大后验概率）准则对PolSAR图像进行分类。整个分类流程迭代进行。分类结果表明该方法精度高，收敛速度快。利用NASA／JPL获取的4视AIRSAR实测数据验证了本文方法的有效性。...
PolSAR Image Segmentation by Mean Shift Clustering in the Tensor Space
Polarimetric synthetic aperture radar (PolSAR) image segmentation mean shift clustering Riemannian manifold
2010/3/29
We present an unsupervised segmentation algorithm for the
fully polarimetric synthetic aperture radar (PolSAR) data by
employing the mean shift clustering. The previous work using the
span values o...