Pinned Repositories
ChangeDet_DL
Change detection of the earth's surface using deep learning algorithms
DeeplabforRS
Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau
dl_codes
my codes of deeplearning course at CUHK
isce_notes
installation notes for ISCE software
labelEarth
Crowdsourcing system for labeling objects on the Earth's surface
Landuse_DL
Land use classification or Landform delineation on remote sensing images. Specifically, this repo is to delineate landforms due to the thawing of ice-rich permafrost using Deep Learning.
rs_data_proc
scripts for pre-processing different sources of remote sensing images
rsBuildingSeg_python3
my final project of Deep Learning course at Chinese University of Hong Kong. The target of this project is to extract buildings polygon from high resolution optical remote sensing image. The dataset is from SpaceNet
run_isce_insar
SAR and InSAR process by using ISCE, and Post-Processing
yolt
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
yghlc's Repositories
yghlc/Landuse_DL
Land use classification or Landform delineation on remote sensing images. Specifically, this repo is to delineate landforms due to the thawing of ice-rich permafrost using Deep Learning.
yghlc/DeeplabforRS
Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau
yghlc/ChangeDet_DL
Change detection of the earth's surface using deep learning algorithms
yghlc/labelEarth
Crowdsourcing system for labeling objects on the Earth's surface
yghlc/rs_data_proc
scripts for pre-processing different sources of remote sensing images
yghlc/rsBuildingSeg_python3
my final project of Deep Learning course at Chinese University of Hong Kong. The target of this project is to extract buildings polygon from high resolution optical remote sensing image. The dataset is from SpaceNet
yghlc/run_isce_insar
SAR and InSAR process by using ISCE, and Post-Processing
yghlc/asarapi
Search and download ERS-1, ERS-2, and Envisat products.
yghlc/CSF
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
yghlc/esa-online-catalogue
Scrape ESA Online Catalogue into a local SQLite database
yghlc/GEE_HotSpot
Google Earthengine HotSpot Regions of Permafrost Change Production and Visualization
yghlc/HIP-Examples
Examples for HIP
yghlc/intermediate-node-course
an intermediate node.js course
yghlc/labelEarthServer
host data on a server for labelEarth
yghlc/lingcaohuang
Lingcao Huang's webpage
yghlc/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
yghlc/node-express-course
An introduction to Node.js and Express.js servers
yghlc/pygeohydro
A part of HyRiver software stack for accessing hydrology data through web services
yghlc/rmacc22-dask-hpc
Tutorial materials from the Dask on HPC session at the RMACC 2022 Symposium
yghlc/RS-CLIP
yghlc/rsBuildingMapping
Building mapping from SpaceNet dataset.
yghlc/rsBuildingSeg
my final project of Deep Learning course at Chinese University of Hong Kong. The target of this project is to extract building polygons from high resolution optical remote sensing images. The dataset are from SpaceNet
yghlc/rts-site-data-review
Compiling and reviewing the study sites for retrogressive thaw slumps
yghlc/SAR-Methods
yghlc/segment-anything-largeImage
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
yghlc/Sentinel-1-Flood-Detection
yghlc/Sentinel-1-Pre-Processing
yghlc/SSL4EO-S12
SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation
yghlc/ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
yghlc/validate-thaw-slump
validate retrogressive thaw slumps using multiple online maps