mengyuchi's Stars
sergiovitale/MONet-SAR-Despceckling-CNN-Theano-implementation
MathieuRita/SAR_denoising
Denoising framework for SAR images (Synthetic Aperture Radar) based on the FFDNet. Final project of MVA course "Remote sensing data: from sensor to large-scale geospatial data exploitation"
Ryanshuai/BM3D_py
pure Python implementation of BM3D
nkls-jy/S1-SARCNN
Applying Nonlocal CNN SAR despeckling on Sentinel-1 imagery
lil-km/SARCNN
Implementation of SARCNN, SAR Image despeckling, in Pytorch
chaoren88/DeamNet
Adaptive Consistency Prior based Deep Network for Image Denoising (CVPR 2021, Oral)
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
cszn/SCUNet
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)
cszn/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
CaryLee17/water_gee
This repository provides a way to extract water bodies using deep learning methods in GEE.
aharley/nn_vis
An interactive visualization of neural networks
tytupski/GEE-Image-Fusion
yongjingmao/SAR-OPT_fusion_GEE
GEE based SAR-Optical spatial-temporal partitioning and fusion
scottstanie/phd-thesis
scar-on/Landslide-susceptibility-mapping
A tool for landslide susceptibility mapping(LSM) using CNN and machine learning 滑坡敏感性绘图(CNN and ML)
Damar-Code/Machine-Learning_Landslide-Susceptibility-Mapping_Pyton
Sertac269/Landslide-Susceptibility-Mapping-with-SVM-and-Logistic-Regression
Landslide Susceptiblity Mapping
aminevsaziz/ML_in_LS_Studies
:sparkles::bar_chart: :chart_with_upwards_trend::sparkles: Landslide Susceptibility Mapping in Mila Basin, Algeria
emrehanks/R-ArcGIS-LSM_ToolPack
This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (LR), (4) Random Forest (RF), (5) Performance Evaluation (PE) and (6) Create Raster Stack (Multi-Bands).
CLi-de/Meta_LSM
Landslide Susceptibility Mapping by a Meta-learning Way
zhoukaisheng/Landslide-Susceptibility
Landslide susceptibility mapping by deep learning and slope unit
angelinkatula/Landslide-susceptibility-mapping
Landslide susceptibility mapping using Machine Learning - A Danish case study
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
nextgis/quickmapservices
QGIS plugin to find and add map services to a project in one click
carranza96/cnn-landcover
2D Convolutional Neural Network for land use and land cover classification of radar and hyperspectral images
opengeos/whitebox-python
WhiteboxTools Python Frontend
rsokl/Learning_Python
Source material for Python Like You Mean it
sacridini/Awesome-Geospatial
Long list of geospatial tools and resources
patrickcgray/open-geo-tutorial
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
ceholden/open-geo-tutorial
Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)