• 2024-06-02近年来高光谱深度学习语义分割方法分类及代表性网络
    目录一、卷积神经网络——光谱、空间、光谱-空间CNN1.SSRN(Spectral-SpatialResidualNetwork)2.HybridSN3.A2S2K-ResNet二、图卷积神经网络GCNGCN(GraphConvolutionalNetworksforHyperspectralImageClassification)三、深度置信网络DBN四、循环神经网络RNN
  • 2024-05-02Color
    WhatDeterminestheColorsWeSeeLight-TheElectromagneticSignalItisthespectralcomposition,theenergyspectraldistribution\(L(\lambda)\)ofthelightthatisthesignaltheeyereceivesforthebraintoprocess.Sometimes\(L(\lambda)\)
  • 2023-11-26Learning Graph Filters for Spectral GNNs via Newton Interpolation
    目录概符号说明MotivationNewtonNet代码XuJ.,DaiE.,LuoD>,ZhangX.andWangS.Learninggraphfiltersforspectralgnnsvianewtoninterpolation.2023.概令谱图网络的多项式系数按照牛顿插值的方式训练.符号说明\(\mathcal{V}=\{v_1,\ldots,v_N\}\),nod
  • 2023-11-24Graph Neural Networks with Diverse Spectral Filtering
    目录概符号说明DSF代码GuoJ.,HuangK,YiX.andZhangR.Graphneuralnetworkswithdiversespectralfiltering.WWW,2023.概为每个结点赋予不同的多项式系数.符号说明\(\mathcal{V}\),nodeset,\(|\mathcal{V}|=N\);\(\mathcal{E}\),edgeset;\(\mathcal{
  • 2023-11-20How Powerful are Spectral Graph Neural Networks?
    目录概符号说明SpectralGNNChoiceofBasisforPolynomialFiltersJacobiConv代码WangX.andZhangM.Howpowerfularespectralgraphneuralnetworks?ICML,2022.概分析谱图网络的表达能力.符号说明\(\kappa(M)=\frac{\lambda_{\max}}{\lambda_{\min}}\),矩阵
  • 2023-11-07[论文阅读] [SNGAN] Spectral Normalization for Generative Adversarial Networks
    1802.05957.pdf(arxiv.org)MiyatoT,KataokaT,KoyamaM,etal.Spectralnormalizationforgenerativeadversarialnetworks[J].arXivpreprintarXiv:1802.05957,2018.生成式对抗网络的频谱归一化,相比于WGAN-GP在激进的学习率和β1&β2下表现更好引用:4453代码:https:
  • 2023-11-05[机器学习复习笔记] Spectral Clustering 谱聚类
    SpectralClustering谱聚类1.邻接矩阵无向图\(G=(V,E)\),所有顶点之间的权重构成一个\(n\timesn\)的矩阵:\[W=\begin{bmatrix}w_{11}&w_{12}&\cdots&w_{1n}\\w_{21}&w_{22}&\cdots&w_{2n}\\\vdots&\vdots&\ddots
  • 2023-04-26spectral-graph-theory-in-GCN
    GCN中的谱图理论笔记Datetime:2023-04-26T09:36+08:00Categories:MachineLearningTags:GNN写毕设,发现自己没法绕过第一代GCN的谱图变换原理我知道啥是傅里叶变化,但是我感觉不到那种新奇,或许这就是无法感觉到数学的美吧。本文默认读者知道傅里叶变换,就数学分析/高等数
  • 2023-04-25Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Image
    Deep-Learning-BasedSpatio-Temporal-SpectralIntegratedFusionofHeterogeneousRemoteSensingImagesabstract为了解决STF中的生成heterogeneousimages问题:为此,本文首次提出了一种基于新型深度残差循环生成对抗网络(GAN)的异构集成框架。所提出的网络由前向融合部
  • 2023-03-07《Spectral Partitioning Residual Network With Spatial Attention Mechanism for Hyperspectral Image Cla
    论文作者:XiangrongZhang,ShouwangShang,XuTang,etal.论文发表年份:2021模型简称:SPRN发表期刊:IEEETransactionsonGeoscienceandRemoteSensing论文链接:Sci-Hub
  • 2023-02-04使用谱聚类(spectral clustering)进行特征选择
    在本文中,我们将介绍一种从相关特征的高维数据中选择或提取特征的有用方法。谱聚类是一种基于图论的聚类方法,通过对样本数据的拉普拉斯矩阵的特征向量进行聚类,从而达到对样
  • 2022-12-09利用高分五号02星高光谱数据进行地物识别
    高分五号02星搭载了一台60公里幅宽、330谱段、30米分辨率的可见短波红外高光谱相机(AHSI),可见近红外(400~1000nm)和短波红外光谱(1000~2500nm)分辨率分别达到5纳米和10纳米。单看
  • 2022-09-20《Spatial-Spectral T ransformer for Hyperspectral Image Classification》论文笔记
    论文题目《Spatial-SpectralTransformerforHyperspectralImageClassification》 论文作者:XinHe1,YushiChen1,*andZhouhanLin2论文发表年份:2021模型简