# ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET

<https://repo.masters-masters.com/repos/ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET>

[Accueil](https://repo.masters-masters.com/) › [ManishSahu53](https://repo.masters-masters.com/owners/ManishSahu53) › [Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET](https://repo.masters-masters.com/repos/ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET)

ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET, dépôt open source à 101 étoiles sur GitHub. Carte Prototype de…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [ManishSahu53](https://repo.masters-masters.com/owners/ManishSahu53) |
| Étoiles | 101 |
| Forks | 35 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Apache-2.0 |
| Création | 2019 |
| Sujets | geospatial, uav, satellite, deeplearning, machinelearning |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET](https://github.com/ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET) |

## Fiche du dépôt

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 ev…

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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