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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

dlcoursera

Coursera Deep Learning Specialization

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.

go-mining

Data mining with Go.

hants

This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.

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

laurae

Advanced High Performance Data Science Toolbox for R by Laurae

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

resnet50-tensorflow

Custom implementation of ResNet50 Image Classification model using pure TensorFlow

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"

snesim-standalone

Standalone Fortran 90 version of snesim written by Sebastien Strebelle

spatialrf

R package to fit spatial models with Random Forest