Skip to content

statisticalplumber/Building_detection

Repository files navigation

Building_detection

This project is to identify buildings in satellite using Unet and masking method

To execute this project, please follow the below guidlines

1: run_code.py is the main file

2: save images and polygon files in images and polygon folders under data

3: ProcessFile class is invoked in run_code that creates csv files of images and masks with user define pixel values like 128, 256 etc.

4: Processed image csv and mask csv files are used in main code to build model

references

https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/

https://github.com/zhixuhao/unet

https://arxiv.org/pdf/1602.06564v1.pdf

http://cs229.stanford.edu/proj2017/final-reports/5243715.pdf

output

Sample Output

About

This project is to identify buildings in satellite using Unet and masking method

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages