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- W1844740803 abstract "The significant growth of urban areas, which was observable in the last decades, is expectedto continue. By the year 2050 almost three out of four people live in cities. Mostparts of this development will take place in developing countries. This favors the increaseof numbers of mega cities, huge urban agglomerations of more than 10 million inhabitants.Since this is an unsolvable challenge for the administrative institutions informal settlements– commonly called slums – will develop rapidly. Often it is impossible to map these settlementsaccurately.Remote sensing can support mapping techniques with information about the physicalappearance of urban areas. Therefore the knowledge based classification of satellite imagescan provide thematic maps with data deduced from diverse features.In this study second order texture features of multi-polarized synthetic aperture radar(SAR) data are used for urban land cover classification. To enhance the feature spaces ofthe SAR data Kennaugh-elements are utilized. The classification is accomplished with alinear discriminant analysis, which also allows to test the influence of the individual featureson the classification result.The results provide an overview of the classification accuracy with different combinationsof Kennaugh-elements. The most valuable classification reaches an overall Kappa of0.76 and a quality of 69.95." @default.
- W1844740803 created "2016-06-24" @default.
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- W1844740803 date "2014-01-01" @default.
- W1844740803 modified "2023-09-27" @default.
- W1844740803 title "Discrimination of formal and informal settlements based on multipolarized TSX imagery in the Megacity Mumbai, India" @default.
- W1844740803 hasPublicationYear "2014" @default.
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