Deep Convolutional Neural Networks for Semantic Segmentation of Multi-Band Satellite Images
Master thesis
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http://hdl.handle.net/11250/2563316Utgivelsesdato
2018Metadata
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Sammendrag
Semantic segmentation of images is of increasing interest in the eld of
computer vision and machine learning. Accurate and e cient segmentation
methods is required for many of todays modern applications. This the-
sis provides a review of deep learning methods for semantic segmentation
of satellite images. Firstly, we compare di erent state-of-the-art methods.
Next, we explore the bene ts of using multiple spectral bands of data as
compared to the traditional RGB bands. Finally, a look at future possibil-
ities with segmentation using capsule networks.
Beskrivelse
Master's thesis Information- and communication technology IKT590 - University of Agder 2018