DeepNetsForEO
by nshaud
Deep networks for Earth Observation
AI summary
Remote sensing imaging model
Developing deep learning models for Earth Observation using remote sensing images
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Similar projects
Found by comparing what the projects do, not just their names.
Building detection model
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Software for enhancing satellite images through deep learning techniques
Methane detection methods
Methods for detecting methane in hyperspectral imagery using deep learning algorithms.
Deep Learning Model
A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.
Remote sensing toolkit
Conda recipes and instructions for installing packages commonly used in remote sensing applications.
Hyperspectral Classifier
Matlab implementation of a deep learning-based method for classifying hyperspectral images
Object detector
A deep learning framework for 3D object detection from RGB-D data
Road classifier
Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data.
Geospatial ML collection
Curated resources and code projects for machine learning in geospatial data science
Change Detection
Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs.
Deep learning experiments
An experiment with various deep learning libraries and frameworks on images and time series data
Deep learning model
An implementation of a deep learning architecture for image segmentation using the Keras framework.
Data preparer
Automates data preparation for machine learning with aerial imagery and OpenStreetMap data
Satellite image annotator
Develops deep learning models to classify and annotate pixel-level details in satellite images
Deep Learning Models
Provides a collection of deep learning models and utilities in JAX/Flax for research purposes.
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