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Tick-borne encephalitis risk assessment based on classification of vegetation from remote sensing data
Červená, Lucie ; Potůčková, Markéta (advisor) ; Pavelka, Karel (referee)
Tick-borne encephalitis risk assessment based on classification of vegetation from remote sensing data Abstract The main aim of this thesis has been to find out how to classify various categories of forest vegetation with a different risk of exposure to the tick-borne encephalitis based on the Landsat imagery. The legend used here is derived from the one used in the projects by Daniel, Kolář, Zeman (1995) and Daniel, Kolář, Beneš (1999) but has been reduced to only five classses with no overlaps in their definitions (I. coniferous stands, II. mixed stands, III. young deciduous stands and stand ecotones with a highly heterogeneous structure, IV. deciduous stands with a homogeneous structure, V. deciduous stands with a heterogeneous structure). The supervised classification with the Maximum Likelihood Classifier has been used on the Landsat imagery from various seasons. Difficulties concerned with the presence of clouds and varying Sun elevation across the imagery had to be adressed in the course of the work. The training sites and the control points have been defined by the field research and interpretation of the relevant orthophotomaps and Landsat imagery in 5-4-3 RGB composite. The mask of the forest has been created on the ZABAGED data basis. The time horizon of 2006 - 2010 has been the primary focus....
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Comparison of logistic regression and decision trees
Raadová, Zuzana ; Voříšek, Jan (advisor) ; Komárek, Arnošt (referee)
In this thesis we describe a classification of the binary data. For discussing this problem we use two well-known methods - logistic regression and decision trees. These methods deal with the problem in different way, so our aim is to compare a successfulness of their predictions. At first a model of logistic regression is introduced and we show how to estimate its parameters using a method of maximum likelihood. Then we describe decision trees as one of the most popular classification tools. There are discussed older classic algorithms CART and C4.5 and also two new algorithms GUEST and CRUISE. The predictions of both of the methods are shown on a real data example.
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Gravitation in higher dimensions
Kubíček, Jan ; Pravdová, Alena (advisor) ; Žofka, Martin (referee)
The thesis starts with a brief introduction to the algebraic classificati- on of tensors and spacetimes in higher dimensions. Attempts to generalize the Goldberg-Sachs theorem are also discussed. There is a summary of main results for optical matrices of algebraically special spacetimes in higher dimensions. The optical matrix for a type III spacetime in six dimensions is found using Bianchi identities. A few properties of type III optical matrices in a general dimension are also found. Various properties of equations obtained from Bianchi identities for type III spacetimes are studied in appendices. 1
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Evaluation and classification in academic physical education
Lonská, Julie ; Fialová, Ludmila (advisor) ; Tilinger, Pavel (referee)
Title: Evaluation and classification in academic physical education Goals: The main goal of this work is to analyze the opinion of the current teachers of physical education on the methods of evaluation and classification in academic physical education within elementary and high schools. How is the relation of the tutors towards classification and verbal evaluation of the students within physical education and what are their main criteria for evaluation. Further, evaluate students questionnaires related to their opinion on given classification. Methodology: The methodology used in this work was a research questionnaire within 20 schools in Prague (10 elementary and 10 high). The first questionnaire, which was created for teachers, had 40 questions where the first 36 had a closed form and the remaining 4 questions had an open form, where respondents answered with their own opinion. The second questionnaire was created for students and had 39 questions. Only one answer was possible for each question. Only the last question had an open form. The questionnaire was focused on the ways of the evaluation of students within physical education, criteria for classification within physical education, scarcities and priorities of these ways of evaluation. Results: It was proven from the analysis of the results...
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Artificial neural networks and their application for 3D-data processing
Pihera, Josef ; Mrázová, Iveta (advisor) ; Holan, Tomáš (referee)
Neural networks represent a powerful means capable of processing various multi-media data. Two applications of artificial neural networks to 3D surface models are examined in this thesis - detection of significant features in 3D data and model classification. The theoretical review of existing self-organizing neural networks is presented and followed by description of feed-forward neural networks and convolutional neural networks (CNN). A novel modification of existing model - N-dimensional convolutional neural networks (ND- CNN) - is introduced. The proposed ND-CNN model is enhanced by an existing technique for enforced knowledge representation. The developed theoretical methods are assessed on supporting experiments with scanned 3D face models. The first experiment focuses on automatic detection of significant facial features while the second experiment performs classification of the models by their gender using the CNN and ND-CNN.
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Comparison of shooting efficiency among wheelchair basketball players with respect to their point classification.
Papežová, Vanda ; Velenský, Michael (advisor) ; Jurková, Kateřina (referee)
Title: Comparison of shooting efficiency among wheelchair basketball players with respect to their point classification Objective: To compare basketball shooting efficiency of wheelchair players according to their point classification. To compile brief history of wheelchair basketball in Czech Republic till January 2018 and to frame basketball shooting technique theory of wheelchair players. Methods: Structured observation, recording and comparison were basic methods of this research. Correlative - predictive approach was used. Each wheelchair player went step by step through this research having done together 30 shooting attemps consisting of 3- shot sets from 10 different spots. One player shooting record together with limbering up took approximately 20 minutes. To verify gained results additional data collection was done for all players in period of 4 weeks. Pilot research for diploma thesis was the part of this bachelor thesis.Video record of basketball match was prepared in order to verify analogic tendencies in game condition. Results: Results of this research are compiled in charts and text version. They are analysed in Discussion chapter. Entry hypothesis for measurment of each separate wheelchair basketball player did not proved. Having all wheelchair basketball players divided into groups...
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Assessment of Pupils at Primary School
Fričová, Martina ; Hejlová, Helena (advisor) ; Tomková, Anna (referee)
The present thesis focuses on assessment of pupils at primary school in relation to motivation for learning. The theoretical part describes kinds and forms of assessment and aspects influencing students' motivation. The practical part researches if a form of assessment influences student's motivation. Research results show that a student's motivation is determined by family influence and upbringing from which a student's attitude to education unreels. School assessment does not cause students any problems; it is important and desirable for them and their parents.
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Detection of Equilibrium Line Altitude (ELA) Changes from Remote Sensing Data; Case Study from the Cordillera Blanca, Peru
Paraj, Zsolt ; Potůčková, Markéta (advisor) ; Kropáček, Jan (referee)
The aim of this diploma thesis is to monitor glacier change in the Cordillera Blanca in the period from 1987 to 2014. This diploma thesis focuses on three mountains and eleven glaciers in the northern part of the Cordillera Blanca. The input data consist of 29 Landsat scenes (Landsat 4,5,7 and 8) and the ASTER global digital elevation model version 2. Semi-automatic classification algorithm is created based on threshold values detected by spectral analyses of selected land cover types in the Cordillera Blanca. Additionally, the mean snowline (equilibrium line) altitude change is computed for all of the three mountains and eleven glaciers. Besides, glacier change depending on slope and aspect is evaluated. The results of this diploma thesis are presented in maps, tables and charts. The results of the classification are compared with the GLIMS Glacier Database and the field measurements provided by Adam Emmer, MSc. Finally, the advantages and disadvantages of the new Landsat 8 satellite sensor are discussed. Key words: Remote sensing, Landsat, classification, ice and snow detection, ELA, Cordillera Blanca
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The influence of spectral resolution on land cover classification in Krkonoše Mts. tundra
Palúchová, Miroslava ; Červená, Lucie (advisor) ; Kupková, Lucie (referee)
The influence of spectral resolution on land cover classification in Krkonoše Mts. tundra Abstract The aim of this diploma thesis was to specify the spectral resolution requirements for classification and to identify the most important spectral bands to discriminate classes of the predefined legend. Aerial hyperspectral data acquired by AisaDUAL sensor were used. The method applied for the selection of the important bands was discriminant analysis performed in IBM SPSS Statistics. The most discriminative bands were found in intervals 1500-1750 nm (beginning of SWIR), 1100- 1300 nm (longer wavelengths of NIR), 670-760 (red-edge) and 500-600 nm (green light). The classification of the selected bands was realized in ENVI 5.4 using the Support Vector Machine classifier, achieving overall accuracy of 80,54 %, Kappa coefficient 0,7755. The suitability of available satellite data for the classification of tundra vegetation in Krkonoše mountains based on spectral resolution was evaluated as well. Keywords: tundra, Krkonoše, classification, spectral resolution, class separability, discriminant analysis, hyperspectral data
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Visual experince as example and pattern in relation to the expansion and influence into human life
Nohejl, Jiří ; Czumalo, Vladimír (advisor) ; Vojtěchovský, Miroslav (referee)
The main theme of this dissertation is to define an image as a visual experience. The human interaction is described by the author himself as a perception of the image, which serves as an information unit that could be presented as a possibility, example and pattern for the individual. There is an emphasis on the process of perception itself and on the way of interaction of an individual emphasizing the context of social learning and imitation in this text. The analysis of the principles of this interaction leading into introduction of the partial interactive models covering these processes is formed by the essential plane. The structure of the thesis is divided into ten main chapters in which the author tries to introduce a category of perception, a definition of the image and imitation as a tool of cultural transmission, presentation of the units of this transmission, the process of the interaction itself and analogous example of the fundamental role that a person in this interaction holds. There are also three analogies of these roles, which refer to the anthropological universal interaction describing the man as a gatherer and hunter. Their main purpose is to illustrate the form of a human experience better. Finally, there are reflections on the topic above. The possibilities and results, which...
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