xiachang2018 Goto Github PK
Type: User
xiachang2018's Projects
cnn_ucmerced-landuse_caffe
Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.
land_use_cnn
Classification in Remote Sensing Optical Images by CNNs
openair
国家空气质量数据获取库,包含完整的API，不再信任地方检测站
urban-activity-model
This project aims at modeling people's activities on the urban network.
urban-environments
Code for constructing the urban environments dataset and for land use classification via convolutional neural networks
urban_growth_model
This model is a reimplementation of the Urban Growth Model that was developed by Clarke, Hoppen and Gaydos.
urbanreconstruction
Automatic 3D Urban Modeling from City-scale Aerial LiDAR Data
urbansleuth
Modifications of the SLEUTH urban growth cellular automaton model.
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