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38 search results found

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Raster Vision ⭐ 1,956

An open source library and framework for deep learning on satellite and aerial imagery.

Robosat ⭐ 1,639

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Eo Learn ⭐ 1,064

Earth observation processing framework for machine learning in Python

Eye In The Sky ⭐ 248

Satellite Image Classification using semantic segmentation methods in deep learning

Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.

Geospatial Machine Learning ⭐ 196

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Deep Learning for Satellite Imagery

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Simrdwn ⭐ 126

Rapid satellite imagery object detection

Jimutmap ⭐ 112

API to get enormous amount of high resolution satellite images from satellites.pro quickly through multi-threading! create map your own map dataset. Bringing data to Humans.

Pytorch Psetae ⭐ 98

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Vector Map Generation From Aerial Imagery Using Deep Learning Geospatial Unet ⭐ 59

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

Land Cover To Land Use Classification ⭐ 47

Satellite image processing pipeline to classify land-cover and land-use

Amber Methodology ⭐ 44

How to use machine learning to find interesting places on satellite maps

Deepdespeckling ⭐ 35

Unstructured Change Detection Using Cnn ⭐ 34

Unstructured Change detection in satellite imagery

🛰️ Python library and CLI tools for processing geospatial imagery for ML

Python based GUI for Satellite Derived Bathymetry processing

Dl Docker Geospatial ⭐ 31

Deep learning docker files and docker images for geospatial anaysis.

Geoai Immap ⭐ 27

Mapping Informal Settlements in Colombia using Machine Learning

Data reader utilities for machine learning on satellite imagery and Earth science data

Lightweight Temporal Attention Pytorch ⭐ 23

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Ap Latam ⭐ 23

Detection of slums and informal settlements from satellite imagery

Unmapped ⭐ 14

ConvNet finding unmapped roads in satellite imagery

Spaceapps Phenomena_detection ⭐ 12

Satellite_leak_detection ⭐ 11

Detect water leaks from satellite images using machine learning

Aedesproject ⭐ 10

Advanced Early Dengue Prediction and Exploration Service

Rainroof ⭐ 10

Watershed, Canny and Mask R-CNN based rooftop volume computation from scaled satellite images. This is similar to Google's SunRoof project.

Satsense ⭐ 10

Satsense is a Python library for land use/cover classification using satellite imagery

Super Resolution for Satellite Imagery

Mlprojects ⭐ 8

Some of my ML projects and Kaggle competitions

An increasingly intelligent method to test RH Satellite.

Sky Insight ⭐ 8

Hack the Map 2018 Winning Entry: Easily train machine learning models using tile maps & ArcGIS.

Automatic Road Extraction ⭐ 7

Road extraction with deep learning from high resolution satellite images.

Machinelearning ⭐ 6

A collection of Jupyter notebooks and a Python library for Machine Learning projects.

Awesome Remote Sensing Relative Radiometric Normalization Datasets ⭐ 6

A. Moghimi, A. Mohammadzadeh, T. Celik and M. Amani, "A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2503-2519, March 2021, doi: 10.1109/TGRS.2020.2995394.

Floating Marine Debris Data ⭐ 6

This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.

Semantic_segmentation_satellite_image ⭐ 5

This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images

At Satellite Levels ⭐ 5

Turns satellite images into level files, parsed in Unity. Uses the TensorFlow library in Python for image recognition.

SciQLOP is an ergonomic and efficient application to browse and label in situ plasma measurements from multi-mission satellite data.

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