Fuzziness Modeling of Polarized Scattering Mechanisms and PolSAR Image Classification Using Fuzzy Triplet Discriminative Random Fields

Wanying Song; Ming Li; Peng Zhang; Yan Wu

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Fuzziness Modeling of Polarized Scattering Mechanisms and PolSAR Image Classification Using Fuzzy Triplet Discriminative Random Fields

机译：偏振散射机制的模糊性建模和基于模糊三重态鉴别随机场的PolSAR图像分类

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摘要

Dominant scattering mechanism (DSM) obtained by Freeman decomposition is significant for polarimetric synthetic aperture radar (PolSAR) image classification. To preserve the purity of scattering characteristics, it restricts pixels in a scattering categor

机译：通过Freeman分解获得的主导散射机制（DSM）对于极化合成孔径雷达（PolSAR）图像分类具有重要意义。为了保持散射特性的纯度，它限制了散射类别中的像素

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《IEEE Transactions on Geoscience and Remote Sensing》 |2019年第7期|4980-4993|共14页
作者
Wanying Song; Ming Li; Peng Zhang; Yan Wu;
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作者单位

National Laboratory of Radar Signal Processing Xidian University Xi’an China;

National Labora;

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正文语种 eng
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关键词
Scattering; Data models; Kernel; Sea surface; Analytical models; Solid modeling; Clustering algorithms;

机译：散射;数据模型;核心;海面;分析模型;实体建模;聚类算法;

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1. Composite Kernel and Hybrid Discriminative Random Field Model Based on Feature Fusion for PolSAR Image Classification [J] . Song Wanying, Wu Yan, Guo Ping IEEE Geoscience and Remote Sensing Letters . 2021,第6期

机译：基于Polsar图像分类的特征融合的复合内核和混合判别随机场模型
2. A decomposition-free scattering mechanism classification method for PolSAR images with Neumann's model [J] . XIAOGUANG CHENG, WENLI HUANG, JIANYA GONG Remote sensing letters . 2013,第10a12期

机译：基于Neumann模型的PolSAR图像无分解散射机制分类方法
3. Unsupervised PolSAR Image Classification and Segmentation Using Dirichlet Process Mixture Model and Markov Random Fields With Similarity Measure [J] . Wanying Song, Ming Li, Peng Zhang, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2017,第8期

机译：利用Dirichlet过程混合模型和马尔可夫随机场的非监督PolSAR图像分类分割及相似度量。
4. MR Brain Image Segmentation Based on Kernelized Fuzzy Clustering Using Fuzzy Gibbs Random Field Model [C] . Liang Liao, Tusheng Lin 2007 IEEE/ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING . 2007

机译：基于模糊吉布斯随机场模型的核模糊聚类的MR脑图像分割
5. Image processing based on fuzzy logic and Markov random field models. [D] . Hu, Liming. 2006

机译：基于模糊逻辑和马尔可夫随机场模型的图像处理。
6. Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model [O] . Yu Guo, Yuanming Feng, Jian Sun, 2014

机译：使用模糊马尔可夫随机场模型对PET / CT图像进行肺肿瘤自动分割
7. Superpixel-Based Hybrid Discriminative Random Field for Fast PolSAR Image Classification [O] . Wanying Song, Ming Li, Peng Zhang, 2019

机译：基于SuperPixel的混合判别随机性场，用于快速POLSAR图像分类
8. Fuzzy Neural Network Models for Supervised Classification: Multispectral Image Analysis [R] . 1999

机译：监督分类的模糊神经网络模型：多光谱图像分析

Fuzziness Modeling of Polarized Scattering Mechanisms and PolSAR Image Classification Using Fuzzy Triplet Discriminative Random Fields

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