نتایج جستجو برای: gis fuzzy

تعداد نتایج: 123479  

2007
Parham Pahlavani Mahmoud Reza Delavar

For modeling a driver's behavior in route selection in outdoor situations we have two problems: 1-real situation is very often not crisp and deterministic and cannot be described precisely, 2-the complete description of driver's behavior in route selection often require much more detailed data than driver could ever recognize process, and understand simultaneously. In this paper we have designe...

Journal: :Journal of Geographical Systems 2007
D. M. Allen Nadine Schuurman Q. Zhang

Modeling the geologic architecture of an aquifer and visualizing its three-dimensional structure require lithologic data recorded during well drilling. Uncertainties in layer boundaries arise due to questionable quality of drilling records, mixing during the drilling process, which results in blurred contacts, and natural heterogeneity of the geologic materials. An approach for modeling and vis...

1992
Peter F. Fisher

Calculation of the viewshed from a digital elevation model (OEM) is a common capability of a GIS packages. Two mistaken assumptions are made, however: first, that the OEM is accurate, and second that the viewshed is a Boolean phenomenon. The inaccuracy of the OEM data is acknowledged in reporting of the root-mean-squared error. The mistake of the Boolean viewshed is recognizable in the real-wor...

2002
Haibin DONG Jonathan LI Yu LI

High-resolution commercial imaging satellite such as IKONOS provides an important new data sources for urban mapping and geographic information systems (GIS) applications. This paper presents a fuzzy mathematical morphology method for automated extraction of urban road networks from IKONOS imagery. In this proposed method, the road networks in a complex urban scene are firstly modeled, followed...

Journal: :Appl. Soft Comput. 2012
Niladri Shekhar Mishra Susmita Ghosh Ashish Ghosh

In this paper wk have used two fuzzy clustering algorithms, namely Fuzzy C-Means (FCM) and Gustafson Kessel Clustering (GKC) for unsupervised change detection in multitemporal remote sensing images. In conventional FCM & GKC no spatio-contextual information is taken into account and thus the result is not so much robust to noise/outliers. By incorporation of local neighborhood informationthe pe...

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