搜索结果: 1-15 共查到“PolSAR”相关记录19条 . 查询时间(0.046 秒)
COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL
PolSAR, Despeckling Relative Total Variationl Wishart Measure PolRTV
2018/5/14
Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image. However, applying the RT...
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...
Classification of Segments in PolSAR Imagery by Minimum Stochastic Distances Between Wishart Distributions
Region-Based Classification Stochastic Distances Hypothesis Tests Polarimetry Wishart distribution
2013/4/28
A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its input consists of segments, and each one is assigned the class which minimizes a stochastic distance. ...
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...