DeepNetsForEO
Remote sensing imaging model
Developing deep learning models for Earth Observation using remote sensing images
Deep networks for Earth Observation
477 stars
39 watching
169 forks
Language: Jupyter Notebook
last commit: over 5 years ago
Linked from 1 awesome list
caffedeep-learningdeep-networkremote-sensing
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ternaus/ternausnetv2 | A deep learning model for automatic instance segmentation of building footprints from satellite imagery | 548 |
 warrengreen/srcnn | Software for enhancing satellite images through deep learning techniques | 76 |
 satish1901/methane-detection-from-hyperspectral-imagery | Methods for detecting methane in hyperspectral imagery using deep learning algorithms. | 57 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
 yannforget/conda-recipes | Conda recipes and instructions for installing packages commonly used in remote sensing applications. | 8 |
 yonghaoxu/rpnet | Matlab implementation of a deep learning-based method for classifying hyperspectral images | 56 |
 charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,598 |
 trailbehind/deeposm | Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. | 1,321 |
 deepvector/geospatial-machine-learning | Curated resources and code projects for machine learning in geospatial data science | 564 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
 mzaradzki/neuralnets | An experiment with various deep learning libraries and frameworks on images and time series data | 162 |
 imlab-uiip/keras-segnet | An implementation of a deep learning architecture for image segmentation using the Keras framework. | 185 |
 developmentseed/skynet-data | Automates data preparation for machine learning with aerial imagery and OpenStreetMap data | 170 |
 jliemansifry/semantic-segmentation | Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
 darshandeshpande/jax-models | Provides a collection of deep learning models and utilities in JAX/Flax for research purposes. | 151 |