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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Multitemporal segmentation of landscape based on dynamic time warping
 Suske, Daniel ; Štych, Přemysl (advisor) ; Kolář, Jan (referee)
The thesis provides new insight into the segmentation processing of freely available satellite time- series data. It is based on open source technologies and offers a new method of unsupervised segmentation, using time series data along with the method originally designed for speech recognition, Dynamic Time Warping (DTW). The thesis deals with the selection of suitable data with sufficient temporal, spatial, and spectral resolution. The most suitable solution in all respects is the Sentinel 2 constellation. The thesis is based on the assumption that the use of time series improves segmentation results compared to segmentation based on one image. The main objective of the work was to find or to create a segmentation method that will take into account not only the time- series data but also the method of calculating the closest relationships using the DTW method. Another goal was to create an algorithm that preprocesses the time series data of the chosen constellation with minimal user input, allows the user to gradually visualize intermediate results and offers a comparison to alternative, currently available segmentation methods used in the scientific community. The main part is the developed segmentation algorithm, whose results can be influenced by tuning the parameters. The results of the work...
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