# Remote-sensing-image-semantic-segmentation

**Repository Path**: yu_weiguo/Remote-sensing-image-semantic-segmentation

## Basic Information

- **Project Name**: Remote-sensing-image-semantic-segmentation
- **Description**: The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras. 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-25
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Remote-sensing-image-semantic-segmentation  
The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.  
This project has been used in the Sparse Representation and Intelligent Analysis of 2019 Remote Sensing Image competition.  
  

![](https://github.com/TachibanaYoshino/Remote-sensing-image-semantic-segmentation/blob/master/illustration.png)  

----  
## Requirements  
- python 3.6.8  
- tensorflow-gpu 1.8 
- Keras 2.2.4
- opencv-python  
- tqdm  
- numpy  
- glob  
- argparse  
- matplotlib  
- tifffile  
- pyjson  
- Pillow 6.0  
- scikit-learn  

## Usage  
### 1. Download dataset  
> [Link,key:1d4x](https://pan.baidu.com/s/12cvkJmPZypGIi9zmQZcCTw)  

### 2. Create new labels  
  `python create_train_val_label.py`  

### 3. Train  
  eg. `python train6_6.py --model checkpoint6_6`  
  
### 4. Download pre-trained weights  
> [Link](https://github.com/TachibanaYoshino/Remote-sensing-image-semantic-segmentation/releases/tag/checkpoint6_6)  

### 5. Test  
  eg. `python test.py --model 'checkpoint6_6'+ '/' + 'weights-039-0.7205-0.8099.h5'`  

## Results 
   Since the original remote sensing image is too large, a partial screenshot of the test results is given here.  
   
![](https://github.com/TachibanaYoshino/Remote-sensing-image-semantic-segmentation/blob/master/dataset/screenshot2.png)  
  
![](https://github.com/TachibanaYoshino/Remote-sensing-image-semantic-segmentation/blob/master/dataset/screenshot1.png)