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IMAGE TEXTURAL MEASURES AS INDICES FOR THE DEVELOPMENT OF AN EVALUATION AND CLASSIFICATION MODEL OF LANDSCAPE SCENIC QUALIT...
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Document Date: 2008-09-22 04:53:11

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City

The Hague / Milos / Athens / Washington / London / L.A. / /

Company

SPB Academic Publishing / John Willey & Sons / Government Printing Office Ag / W. H. Freeman and Co. / SPSS / Geographical Information Systems / Elsevier Science LTD / /

Country

United States / Greece / /

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Facility

Aristotle University of Thessaloniki / Brandenburg University of Technology / Laboratory of Physical Geography / National Technical University / /

IndustryTerm

neural network / satellite representations / data processing / sevenmember / respective computerised and mechanical equipment / classification algorithms / satellite images / low cost media / satellite image classification / /

MarketIndex

ABILITY OF THE SELECTED QUANTITATIVE / /

Organization

Polytechnic School / Aristotle University of Thessaloniki / Department of Rural and Surveying Engineering / Brandenburg University of Technology / National Technical University / USDA / USDA Forest Service / Laboratory of Physical Geography and Environmental Impact / Association for Geographic Information / Taylor & Francis / ASLA Open Committee / /

Person

Gardner R. Springer Verlag / Ai / /

Position

evaluator / representative / pilot research programme / /

Product

Tsouchlaraki Androniki Rural / /

ProvinceOrState

New York / Washington / /

Technology

corresponding algorithm / Remote Sensing / neural network / classification algorithms / Image Processing / /

SocialTag