HOMOGENEOUS GEOVISUALIZATION OF COASTAL AREAS FROM HETEROGENEOUS SPATIO-TEMPORAL DATA
نویسندگان
چکیده
منابع مشابه
Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملExtracting Causal Rules from Spatio-Temporal Data
This paper is concerned with the problem of detecting causality in spatiotemporal data. In contrast to most previous work on causality, we adopt a logical rather than a probabilistic approach. By defining the logical form of the desired causal rules, the algorithm developed in this paper searches for instances of rules of that form that explain as fully as possible the observations found in a d...
متن کاملBuilding Spatio-Temporal Presentations Warehouses from Heterogeneous Multimedia Web Servers
Building warehouses from existing data sources is one of the main challenges of future information systems. Over the last three years, we defined and experienced an infrastructure called Jaguar (model, language, architecture, and prototype SMIL/JMF) to configure presentations warehouse(s) managers. Such managers provide means to play and query multimedia presentations stored in a warehouse. Thi...
متن کاملSpatio-Temporal Data Construction
On the route to a spatio-temporal geoscience information system, an appropriate data model for geo-objects in space and time has been developed. In this model, geo-objects are represented as sequences of geometries and properties with continuous evolution in each time interval. Because geomodeling software systems usually model objects at specific time instances, we want to interpolate the geom...
متن کاملClassification of Spatio-temporal Data
This paper presents a new approach in spatio-temporal data classification. This classification can be used in many branches including robotics, computer vision or medical data analysis. Due to easy transformation of time dimension of spatio-temporal data into the phase of complex number, the presented approach uses complex numbers. The classification is based on a complex-valued neural network ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2015
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xl-3-w3-509-2015