SurmountH的博客

两个有用的链接sklearn.manifold.TSNEHow to Use t-SNE Effectively

全球尺度的局部气候区产品难点：不同城市由于文化、气候、环境等原因，形态特征不同，如何分类？数据量很大如何处理？目录研究区域与数据研究区域与数据LCZ全球产品 1692个城市Sentinel-1与Sentinel-2训练数据：So2sat数据集...

打开界面预处理 命令行。// An highlighted block//1.Apply orbitgpt Apply-Orbit-File -Ssource="E:\LCZ SAROPT\originaldata\sen1\wuhan\S1A_IW_SLC__1SDV_20190812T102743_20190812T102811_028535_0339FC_B82F.zip" -t "E:\LCZ SAROPT\preprocess\Wuhan\S1A_IW_SLC__1SDV_2019081

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目录Multilevel Feature Fusion-Based CNN for Local Climate Zone Classification From Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 DatasetMSPPF-NETS: A DEEP LEARNING ARCHITECTURE FOR REMOTE SENSING IMAGE CLASSIFICATIONComparison between convolutiona

目录WUDAPTLCZ分类具体步骤准备工作数据下载定义研究区域数据准备勾画训练样本分类分类精度评价WUDAPT网站链接：http://www.wudapt.org/已有LCZ图下载链接：https://wudapt.cs.purdue.edu/LCZ分类具体步骤WUDAPT流程是一种监督分类的方法，需要勾画训练样本，WUDAPT提供了40个城市的样本数据，如果我们的研究区域不包括在其中，就需要自己进行训练区域勾画。准备工作首先，需要下载所需要的Landsat影像，USGS下载即可之后，需

Assessing local climate zones in arid cities: The case of Phoenix, Arizona and Las Vegas, Nevada各向异性

Understanding the seasonal variations of land surface temperature in Nanjing urban area based on local climate zoneLCZs were distinguished by combining satellite imagery and LiDAR data.

Modelling the fine-scale spatiotemporal pattern of urban heat island effect using land use regression approach in a megacityThe study results indicate that the spatial pattern of UHI is largely determined by the LU/LC (RES1500, FVC500) and urban geomorpho

AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE在GEE平台获取无云的sentinel-2影像1https://github.com/google/earthengine-api2http://bit.ly/Sen2CloudFreeSentinel-2 cloudless, 2017 temporal stability of the land cover cannot be ensured基于GEE获取无云的

Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasetsUnfortunately, a simple stacking of both datasets together does not provide improvementClass Imbalance EffectIt sh

Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone ClassificationHowever, this is a challenging task. For example, one study [20] attempted toselect training samples from one city for the classification of an

Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 DatasetSo2Sat LCZ42 benchmark datasetSen2LCZ-NetSo2Sat LCZ42 benchmark datasetSen2LCZ-Net

Ren C, Cai M, Li X, et al. Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements.[J]. Scientific Reports, 2019, 9(1).对中国20个城市和3个经济区进行LCZ分类，使用WUDAPT分类方法，结果：built types的分类精度很低OAu指built-up area的OA，OAn指natural type

GIS-based mapping of Local Climate Zone in the high-density city of Hong Kongurban morphology analysis maps目录MethodDataAnalysis of spatial autocorrelationKolmogorov–Smirnov testGIS-based LCZ classification and urban geometric analysisDevelopment of land

LOCAL CLIMATE ZONES FOR URBAN TEMPERATURE STUDIESStewart I D, Oke T R. Local Climate Zones for Urban Temperature Studies[J]. Bulletin of the American Meteorological Society, 2012, 93(12): 1879-1900.We formally define local climate zones as regions of un

论文笔记2：Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks

论文笔记1： Local climate zone mapping as remote sensing scene classifcation using deep learning: A case study of metropolitan ChinaLCZ：Local climate zone零碎笔记LCZ：Local climate zone局部气候分区分类零碎笔记深度学习，LCZNetWUDAPT ：Pixel-based classification；LCZ mapping shoul