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An Object‐Oriented Pattern Recognition Approach for Urban Classification
This chapter contains sections titled:
Introduction
Object‐oriented classification
Data and study area
Methodology
Results and discussion
Conclusion
References
An Object‐Oriented Pattern Recognition Approach for Urban Classification
This chapter contains sections titled:
Introduction
Object‐oriented classification
Data and study area
Methodology
Results and discussion
Conclusion
References
An Object‐Oriented Pattern Recognition Approach for Urban Classification
Yang, Xiaojun (Herausgeber:in) / Myint, Soe W. (Autor:in) / Stow, Douglas (Autor:in)
Urban Remote Sensing ; 129-140
15.04.2011
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
object‐oriented classification ‐ mapping urban LULC classes, Definiens software known as eCognition to achieve OBIA , object‐oriented approach, additional selection ‐ or modification of new training samples , applicability and effectiveness of two different classification approaches ‐ within object‐oriented image analysis paradigm, a Quickbird multispectral data , object‐based approaches, to semi‐automated LULC mapping ‐ remote sensing and image processing research , remotely sensed image data ‐ for identification and mapping of land‐use and landcover (LULC) classes for urban environments , segmented objects, organized into image object levels ‐ known as scale levels , rule‐based detection of swimming pools ‐ one's expert knowledge, rule set for extracting a LULC class , object‐oriented pattern recognition approach ‐ for urban classification , nearest neighbor classifier ‐ extracting urban land covers , rule set classifier, time consuming with difficulty in implementation ‐ than identifying classes using a nearest neighbor classifier
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