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accessibility_toolbox

Accessibility Toolbox for R and ArcGIS

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

android-test

android development

awesome-data-fusion-for-remote-sensing

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-medical-imaging

Awesome list of software that I use to do research in medical imaging.

boltzmann_entropy_computation_package

This repository aim to publish codes and instructions of calculating Boltzmann entropy of data organized in raster manner

cheatsheets

Official Matplotlib cheat sheets

chengxinghua.github.io

关于GIS开发的博客

chengxinghua.gitjub

cnn-without-any-downsampling

A project demonstrate that downsampling(upsaming) in cnn are not nesscessary

cnn_ucmerced-landuse_caffe

Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

crcpython

Image Analysis, Classification and Change Detection in Remote Sensing

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

esa2023_neon4cast_workshop

gan_review

A Survey and Taxonomy of the Recent GANs Development & GAN-based Action Recognition Implementations

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

geog0521.github.io

grass

GRASS GIS - free and open source Geographic Information System (GIS)

how-to-make-high-resolution-remote-sensing-image-dataset-

高分遥感影像数据集的制作

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

ic-en

image-fusion-first

Python implementation and modification of the spatiotemporal Fusion Incorrporting Spectral autocorrelaTion (FIRST) model

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

kernelsim

High-order stochastic simulation based on kernel methods.