Stars
Machine learning tool to detect landslides from optical satellite imagery
Improved DeepLabV3+ model for landslide identification in high-resolution remote sensing images after earthquakes
利用faster-rcnn目标检测网络实现滑坡的提取
Semantic-segmentation-methods-for-landslide-detection
Repo for data sharing. Open Science!
Supplementary code for the paper "Landslide Susceptibility Modeling by Interpretable Neural Network"
Code for our JSTARS paper: "Urban Functional Zone Mapping With a Bibranch Neural Network via Fusing Remote Sensing and Social Sensing Data".
This project delineates urban functional zones in London, UK by analyzing Point of Interest (POI) data extracted from OpenStreetMap.
A dataset built by Central South University for urban scene classification
Self complemented word embedding methods using CBOW,skip-Gram,word2doc matrix , word2word matrix ,基于CBOW、skip-gram、词-文档矩阵、词-词矩阵四种方法的词向量生成
高光谱图像分类基础,包含代码、数据集、分类结果矩阵、颜色映射矩阵与可视化结果图。代码中使用了六个分类器,分别是KNN、SVM、RF、1DCNN、基于lenet的2DCNN、HybridSN
Papers related to remote sensing in CVPR 2024
Official implementation of the paper "Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs"
Parcel Generation with OSM Road Network
疫情数据爬虫,2019新型冠状病毒数据仓库,轨迹数据,同乘数据,报道