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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Vliv telekomunikačních vysílačů na estetickou hodnotu krajinného rázu / The influence of telecommunication transmitters on the aesthetic value of landscape

Binderová, Vanda January 2012 (has links)
The thesis deals with the influence of telecommunication transmitters on the aesthetic value of landscape. It uses both environmental and sociological approach. Subject of investigation is the relationship between the aesthetic stimulus (landscape) and the recipient (man). For the analysis, Scenic Beauty Estimation Method is used as a psychological procedure which measures aesthetic preferences and allows adequately assess how society perceives the presence of various types of telecommunication transmitters in the landscape, including the so-called camouflage. Analysis also includes a comparison of affected and unaffected groups. The aim of the thesis is to assess whether the perception of the presence of telecommunication transmitters in the landscape is negative. The thesis deals with hypothesis that "camouflages" reduce the negative perception of telecommunication transmitters in the landscape.
2

The Design and Implementation of an Image Segmentation System for Forest Image Analysis

Long, Zhiling 04 August 2001 (has links)
The United States Forest Service (USFS) is developing software systems to evaluate forest resources with respect to qualities such as scenic beauty and vegetation structure. Such evaluations usually involve a large amount of human labor. In this thesis, I will discuss the design and implementation of a digital image segmentation system, and how to apply it to analyze forest images so that automated forest resource evaluation can be achieved. The first major contribution of the thesis is the evaluation of various feature design schemes for segmenting forest images. The other major contribution of this thesis is the development of a pattern recognition-based image segmentation algorithm. The best system performance was a 61.4% block classification error rate, achieved by combining color histograms with entropy. This performance is better than that obtained by an ?intelligent? guess based on prior knowledge about the categories under study, which is 68.0%.

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