I will use this blog to order my thoughts throughout my master thesis and create intermediate draft writings of my actual thesis paper. The idea of writing a blog was inspired by the book Deep Learning for Coders with fastai and PyTorch

The blog will consists of two main machine learning topics, which will be combined in my master thesis:

1. Remote Image Sensing with multispectral images
2. Self-supervised computer vision approaches

All blog posts will be written as jupyter notebooks. The code used to generate the shown images are always accesible via the GitHub badge, revealing the complete source code. This style of writing blogs with notebooks was made possible by fastpages.

Posts

• Introduction to the BigEarthNet dataset

  A look at the new BigEarthNet dataset, based on sentinel-2 multispectral images.

  Oct 28, 2020

• Understanding spectral reflectance

  A review of different spectral reflectance curves and how they can be used to differentiate objects.

  Oct 14, 2020

• Color widgets

  Two widgets to play around with channels in images.

  Oct 4, 2020

• Introduction to multi-channel images

  A short introduction to RGB and remote sensing images.

  Sep 16, 2020

• Introduction to grayscale images

  A short introduction to grayscale images and how they are encoded on the computer.

  Sep 2, 2020