Xin WEI's starred repositories
Landslidecast
HydroPML for landslide dynamic process modeling and forecast (https://doi.org/10.1029/2023EA003417)
tensorflow_models_learning
tensorflow GoogleNet inception V1 V2 V3 V4
google-map-downloader
Small tools to download Google maps satellite image for a given extent & zoom level to a TIFF file with geographical coordinates and speeding it up with multiple threads and processes.
UNet-Satellite-Image-Segmentation
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
Semantic-Segmentation-of-Satellite-Images
This was a contest taken from Codalabs which required the user to semantically segment the tiff formatted satellite images into 6 classes. The code for which is given below.
spacenet_building_detection
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET
We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.
SRSM_QuebecCity_building_extraction
Delineated building footprint outlines in Quebec City (Canada) resulted by SRSM method.
rs_buildings_extraction
本项目已不再维护，所有功能已迁移至robosat_geoc，更好更强大，可以点击链接查看。
building-identification
[WIP] Using satellite data and machine learning to identify buildings
Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
natural_disaster_pred
Using CNNs and Sentinel-2 satellite data to predict landslides
Landslide-Susceptibility
Landslide susceptibility mapping by deep learning and slope unit