Representing geographical objects with scale-induced indeterminate boundaries: A neural network-based data model
نویسندگان
چکیده
J. L. SILVÁN-CÁRDENAS*{{, L. WANG§ and F. B. ZHAN{ {Texas State University-San Marcos, Texas Center for Geographic Information Science, Department of Geography, 601 University Dr., ELA 139, San Marcos, TX 78666, US {Centro de Investigación en Geografı́a y Geomática, Ing. ‘‘Jorge L. Tamayo’’, Contoy 137, Lomas de Padierna, Mexico, D.F. 14240, MEX §Department of Geography, University at Buffalo, the State University of New York, 105 Wilkeson Quad., Buffalo, NY 14261, USA
منابع مشابه
Estimation of the mean grain size of mechanically induced Hydroxyapatite based bioceramics via artificial neural network
This study focuses on the estimation of the mean grain size of mechanically induced Hydroxyapatite (HA) through the artificial neural network (ANN) model. The mean grain size of HA and HA based nanocomposites at different milling parameters were obtained from previous studies. The data were trained and tested by the neural network modeling. Accordingly, all data (55 sets) were based on the mecha...
متن کاملFormalizing fuzzy objects from uncertain classification results
Concepts of fuzzy objects have been put forward by various authors (Burrough and Frank 1996) to represent objects with indeterminate boundaries. In most of these proposals the uncertainties in thematic aspects and the geometric aspects are treated separately. Furthermore little attention is paid to methods for object identi cation, whereas it is generally in this stage that the uncertainty asp...
متن کاملUncertainty Management for Spatial Data in Databases: Fuzzy Spatial Data Types
In many geographical applications there is a need to model spatial phenomena not simply by sharply bounded objects but rather through vague concepts due to indeterminate boundaries. Spatial database systems and geographical information systems are currently not able to deal with this kind of data. In order to support these applications , for an important kind of vagueness called fuzziness, we p...
متن کاملLinguistic Representation of Imperfect Spatial Information in a Fuzzy Object Oriented Database
In this contribution a representation of imperfect spatial information is proposed based on linguistic qualifiers within fuzzy set theory and possibility theory. By adopting a Fuzzy Object Oriented Database approach new data types for representing geographic entities characterized by either unsharp boundaries or indeterminate boundaries and relationships are defined. Finally, the evaluation mec...
متن کاملConvolutional Gating Network for Object Tracking
Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem. The paper presents a new model for combining convolutiona...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- International Journal of Geographical Information Science
دوره 23 شماره
صفحات -
تاریخ انتشار 2009