Recently, I had to frequently share deep learning model outputs with a client. However, with each dataset being several GB in size, this increasinly became a challenge. By default many outputs, such as binary segmentation results, are stored as floating… Read More »GDAL Float to Binary Conversion
Introduction In a series of earlier posts, we have discussed how geospatial imagery can be segmented using a deep neural network. When applying such a trained model to imagery data, noise is a common and often not desirable phenomenon. Figure… Read More »Noise Removal with Connected Components Analysis using GDAL and OpenCV
Introduction In the previous post, we have successfully trained a model for lake segmentation. In this post, we are going to have a look at how its performance can be quantitatively and qualitatively assessed as well as how it can… Read More »Semantic Segmentation of Geospatial Imagery with Deep Learning Part 6 – Model Inference and Evaluation
Introduction In the previous post of this series, we have acquired the relevant datasets and transformed the lake vector dataset into a raster file that aligns with the SWISSIMAGE dataset. In this blog post, we are going to use these… Read More »Semantic Segmentation of Geospatial Imagery with Deep Learning Part 3 – Training Samples
Introduction In the previous post, we have set up our working environment. In this blog post, we are going to have a look at from where we can obtain suitable training datasets. Training a deep learning model is only possible… Read More »Semantic Segmentation of Geospatial Imagery with Deep Learning Part 2 – Data Acquisition
Introduction Feature segmentation, i.e., the association of a pixel to a certain feature class such as a tree or a car, is a common task when processing remote sensing data. In recent years, this task has been dominated by deep… Read More »Semantic Segmentation of Geospatial Imagery with Deep Learning Part 1 – Setup
Introduction Relief shading has a long tradition in Cartography as a means to present the terrain for a map in an intuitive manner. As such, relief shadings are also an ongoing topic of research with recent advances going so far… Read More »Efficient Analytical Relief Shading with Python