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Showing result 1 - 5 of 7 swedish dissertations matching the above criteria.
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1. Learning Multidimensional Signal Processing
Abstract : The subject of this dissertation is to show how learning can be used for multidimensional signal processing, in particular computer vision. Learning is a wide concept, but it can generally be defined as a system’s change of behaviour in order to improve its performance in some sense. READ MORE
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2. The Use of a Bayesian Neural Network Model for Classification Tasks
Abstract : .... READ MORE
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3. Improving Image Classification Performance using Joint Feature Selection
Abstract : In this thesis, we focus on the problem of image classification and investigate how its performance can be systematically improved. Improving the performance of different computer vision methods has been the subject of many studies. READ MORE
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4. Urban Change Detection Using Multitemporal SAR Images
Abstract : Multitemporal SAR images have been increasingly used for the detection of different types of environmental changes. The detection of urban changes using SAR images is complicated due to the complex mixture of the urban environment and the special characteristics of SAR images, for example, the existence of speckle. READ MORE
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5. Change Detection Using Multitemporal SAR Images
Abstract : Multitemporal SAR images have been used successfully for the detection of different types of environmental changes. The detection of urban change using SAR images is complicated due to the special characteristics of SAR images—for example, the existence of speckle and the complex mixture of the urban environment. READ MORE