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phil8192 committed Jan 9, 2018
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* [Training](#training)
* [Validating](#validating)
* [Running](#running)
* [Further work/notes](#further-work/notes)
* [Further work](#further-work)
* [Background research](#background-research)
* [Satellite themes of interest](#satellite-themes-of-interest)
* [Earth Observation (EO)](#earth-observation)
* [Earth Observation](#earth-observation)
* [Object detection](#object-detection)
* [Computer vision themes of interest](#computer-vision-themes-of-interest)
* [Data sources](#data-sources)
* [Raw image data](#raw-image-data)
* [Sentinel-2 (ESA)](#sentinel-2-esa)
* [Landsat-8 (NASA)]](#landsat-8-nasa)
* [Links](#links)
* [Papers](#papers)
* [Other](#other)
* [Pre-labeled image data](#pre-labeled-image-data)
* [Object and land-use labels](#object-and-land-use-labels)
* [Modeling](#modelling)
* [Modeling](#modeling)
* [Modeling papers](#modeling-papers)
* [Satelite specific](#satelite-specific)
* [Modeling specific](#modeling-specific)
* [Model implementations](#model-implementations)
* [Image segmentation model implementations](#image-segmentation-model-implementations)
* [General](#general)
* [SegNet](#segnet)
* [U-Net](#u-net)
* [DeepLab](#deeplab)
* [Dialated convolutions](#dilated-convolutions)
* [PSPNet (Pyramid Scene Parsing Network)](#pspnet-pyramid-scene-parsing-network)
* [Comeptitive data science](#comeptitive-data-science)
* [Tools/utilities](#Tools/utilities)
* [Visualisations/existing tools](#visualisations/existing-tools)
* [Tools and utilities](#Tools-and-utilities)
* [Visualisations and existing tools](#visualisations-and-existing-tools)
* [Projects using Sentinel data](#projects-using-sentinel-data)
* [Blogs](#blogs)

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* [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/pdf/1505.04597.pdf) - Used for 2nd place in DSTL challenge.


### Model implementations (satelite)
### Model implementations

There exist a number of implementations of recent satelite image procesing
techniques. The following Github respositories are a good research starting
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