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Resources for deep learning with satellite & aerial imagery
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
An open source framework for deep learning on satellite and aerial imagery.
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
List of datasets, codes, and contests related to remote sensing change detection
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Rotational region detection based on Faster-RCNN.
An advanced geospatial data analysis platform
| Model | Backbone | mAP | Paper Link | Code Link |
|---|---|---|---|---|
| SCRDet | ResNet101 | 72.61 | ICCV2019 | [code](https://github.com/DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow |
A curated list of Google Earth Engine resources
A repository of custom scripts to be used with Sentinel Hub
Deep networks for Earth Observation
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Data Preparation for Satellite Machine Learning
interactive notebooks from Planet Engineering
A collection of Python packages for geospatial analysis with binder-ready notebook examples
Open Data Cube analyses continental scale Earth Observation data through time
Python module for hyperspectral image processing
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Hi. I've been facing some trouble with the shoreline detection at a certain location where there's no white water and there's dark wet sand. My problem is kinda the opposite of #177 because in my case there's an offshore bias (instead of a detection in the wet-dry sand limit). I've also read #50 but unfortunately in my case adjusting the MNDWI threshold didn't help.
Besides, I re-trained the clas
framework for large-scale SAR satellite data processing
使用deeplab_v3模型对遥感图像进行分割
Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
Miami InSAR time-series software in Python
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
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I propose that we create an example section in the Documentation for both the API and CLI. Possible contents are, but not limited to:
This is a beginner friendly issue. A good starting point would be #140 and then build