Image Semantic Segmentation of Satellite Imagery using U-Net.
Image segmentation using U-Net architecture on Satellite Imagery with the help of fast.ai framework
Recent years has shown us the benefits of studying and modelling earth and climate change, we also witnessed the importance of satellite images. Public and private organisation are spending lots of resources over satellites (some are made public for the use of entrepreneurs and research scientists). Satellite images can provide as a spatial frame for modelling and understanding earth from above. With proper data processing, analytics and cutting edge technologies like deep learning can generate great insights.
What is Semantic Segmentation?
The idea of semantic segmentation is to label each pixel with a corresponding class of what it is representing. In previous image classification story we made the neural network to find out the content of an image but here it is little more deep because here along with finding what is in the image we are locating the pixel points of the contents in the image. This type of task is commonly called dense…
