Skip to content

Remote-sensing-based crop mapping implemented using UNet architecture

Notifications You must be signed in to change notification settings

aryanVijaywargia/UNet-RemoteSensing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 

Repository files navigation

UNet Remote Sensing

Remote-sensing-based crop mapping implemented using UNet architecture

U-Net model

The UNet architecture takes 7 bands of Landsat as input and output a one-band image with the same size (width*height). Every pixel in the images are translated to a crop pixel with a value indicating its type.

Model Training

The training images and the corresponding output array were reshaped into a specific matrix format, e.g., (batch_size, band_count, width, height, classes) and then mapped pixel by pixel.

Model Architecture

UNet Architecture

Information about the various code files

  • config.py file includes some properties like dataset directory, test directory and the colormap.
  • make_dataset.py file is used for feature extraction and creating dataset.
  • train_model.py contains the UNet Architecture
  • utils.py file contains the helper functions

About

Remote-sensing-based crop mapping implemented using UNet architecture

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages