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The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability of multi-s...
Based on a first prototype, an improved low-cost aerial platform was developed at the Institute of Digital Image Processing in order to be used for immediate acquisition and processing of image data w...
Today, one of the main applications of multi-source aerial data is the city modelling. The capability to automatically detect objects of interest starting from LiDAR and multi-spectral data is a comp...

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