riparian vegetation is a component of river system that performs certain basic functions including primary vegetative production, protecting stream banks from erosion, trapping sediments, promoting water quality, wildlife habitat and fisheris, forage for livestock, etc. in this research, spatio-temporal change of vegetation riparian area of aghbolagh-river as an upstream of karoon-river for 65-...

This paper presents an integrated framework for exploratory multi-scale spatio-temporal feature extraction and clustering of spatio-temporal data. The framework combines the multi-scale spatio-temporal decomposition, feature identification, feature enhancing and clustering in a unified process. The original data are firstly reorganized as multi-signal time series, and then decomposed by the mul...

In recent years, there has been tremendous growth in the field of indoor and outdoor positioning sensors continuously producing huge volumes of trajectory data that has been used in many fields such as location-based services or location intelligence. Trajectory data is massively increased and semantically complicated, which poses a great challenge on spatio-temporal data indexing. This paper p...

The quickly increasing number of spatio-temporal applications in fields like environmental management, geology and mobile communication is a new challenge to the development of database management systems. After discussing the related work we present concepts and implementations for the modelling and persistent management of geological long-period scientific data. The spatio-temporal classes ar...

In this paper, we analyze whether Principal Component Analysis (PCA) is an appropriate tool for estimating spatial information in spatio-chromatic mosaiced images. Ruderman et al. [1] have shown that the spatio-chromatic principal components of cone images contain first spatial information, followed by blue minus yellow and red minus green. However, their analysis is based on fully defined spat...

Spatio-temporal extensions to the classical optical ow technique are presented. A novel optical ow estimator is derived capable of incorporating spatio-temporal motion models by iteratively rening initial motion estimates. These initial estimates may be derived from motion in previous frames using a spatio-temporal processing architecture, or from block matching or feature matching techniques. ...

The purpose of this paper is to demonstrate a perceptually based spatio-temporal computational framework for visual saliency estimation. We have developed a new spatiotemporal visual frontend based on biologically inspired 3D Gabor filters, which is applied on both the luminance and the color streams and produces spatio-temporal energy maps. These volumes are fused for computing a single salien...

We define a family of qualitative spatio-temporal relations such as same-place-same-time and same-path-different-time, which describe the relative location of spatio-temporal objects within places or along paths. The relations in question are approximate, and this means that some of them are context-dependent. We explore the relationships between context, judgments that are made in certain cont...

This paper describes about spatio-temporal geographic information system, named STIMS(Spatio-Temporal Information Management System). STIMS handle temporal information assigned each geographic object and can execute several kinds of spatial operations on the world of specified time. The system adopts implicit topology data model to handle such temporal data. By this data model, the data structu...

Spatio-temporal outliers are occurrences that can reveal significant information about the phenomena under investigation. They are detected after comparing their non-spatial attributes with their spatio-temporal neighbours. One of the important definitions that need to be made is the spatio-temporal neighbourhood of an instance. There can be no universally applicable definition of the spatio-te...