wanyue92

CCDC

Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.

CNN-Based-Hyperspectral-Image-Classification

A TensorFlow implentation of fixed size kernel CNN

cnn-landcover

2D Convolutional Neural Network for land use and land cover classification of radar and hyperspectral images

CNN_seismic_facies_classification

datasets

Datasets for deep learning with satellite & aerial imagery

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

DeepLearning

Works done during Fall'19 term at UNB in DeepLearning field for Adv Remote Sensing course

EarthEngine-Deep-Learning

Land Cover Classification based on Landsat-8 imagery from Google Earth Engine

ee-dynamic-time-warping

GEE-Image-Fusion

GEET

Google Earth Engine Toolbox - Library to write small EE apps or big/complex apps with a lot less code.

Harmonics_and_z-score_GEE_code

Google Earth Engine codes for computing z-score and harmonic analysis based on MODIS time series data.

hlc-lda

Harmonize classification raster files using Latent Dirichlet Allocation

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

land-cover-mapping-China

lulcc

land use change modelling in R

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-cnn-text-classifier

Model-agnostic meta-learning framework adapted to CNN text classifier

NDVI-Time-Series-Classification

Classifying deciduous and evergreen trees based on time series with ROCKET and ridge classifier

PSPNet

Pyramid Scene Parsing Network, CVPR2017.

Python

All Algorithms implemented in Python

RSLcode

Code and data used to produce a paper accepted for publication in Remote Sensing Letters submission "Geographically weighted correspondence matrices for local error reporting and change analyses: mapping the spatial distribution of errors and change"

spatialRF

R package to fit spatial models with Random Forest

starfm4py

The STARFM fusion model for Python

tensorflow

An Open Source Machine Learning Framework for Everyone

unet

U-Net Biomedical Image Segmentation

wanyue92.github.io

whitebox-tools

An advanced geospatial data analysis platform

WhiteboxTools-ArcGIS

ArcGIS Python Toolbox for WhiteboxTools