| motokimura/spacenet_building_detection |
140 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries. |
| charlotte-pel/temporalCNN |
59 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series |
| vbhavank/Siamese-neural-network-for-change-detection |
49 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
gpl-3.0 |
Python |
| This repository contains the python code for a Siamese neural network to detect changes in aerial images using Tensorflow. |
| evilsocket/ergo-planes-detector |
37 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| 🧠✈️ An ergo based project that relies on a convolutional neural network to detect airplanes from satellite imagery. |
| vbhavank/Unstructured-change-detection-using-CNN |
34 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Unstructured Change detection in satellite imagery |
| dariopavllo/road-segmentation |
31 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Satellite image segmentation (extraction of roads from satellite images) through convolutional neural networks (CNNs). |
| zia207/Deep-Neural-Network-with-keras-Python-Satellite-Image-Classification |
20 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification |
| subhajitchaudhury/deephypercnn |
19 |
|
0 |
0 |
about 9 years ago |
0 |
|
3 |
mit |
Matlab |
| Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks |
| zia207/Satellite-Images-Classification-with-Keras-R |
12 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
R |
| Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification |
| jakthra/PathLossPredictionSatelliteImages |
12 |
|
0 |
0 |
over 3 years ago |
0 |
|
15 |
mit |
Python |
| Prediction of path loss using satellite images and convoluted neural networks |
