# Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images

<https://repo.masters-masters.com/en/repos/Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images>

[Home](https://repo.masters-masters.com/en) › [Epsilon123](https://repo.masters-masters.com/en/owners/Epsilon123) › [Semantic-Segmentation-of-Remote-Sensing-Images](https://repo.masters-masters.com/en/repos/Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images)

Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images has 222 stars on GitHub. Its RepoMasters card: Prototype tier. 遥感图像的语义分割，分别使用Deeplab V3+(Xception…

| Field | Value |
| --- | --- |
| Owner | [Epsilon123](https://repo.masters-masters.com/en/owners/Epsilon123) |
| Stars | 222 |
| Forks | 46 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images](https://github.com/Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images) |

## Repository

遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.