a study of substantial anthropogenic related pollution in the coastal samut prakarn province (thailand) was carried out focusing on the bang pu nature reserve (remnant mangrove wetland) using a remote sensing (geospatial) technique. statistical regression models were developed between biochemical parameters of sample point and related reflectance data obtained from satellite imagery (landsat tm...

Vision-based systems for remote surveillance usually involve change detection algorithms for intruders, obstacles or irregularities detection. Real time applications require simple, fast and reliable algorithms for change detection methodology. Morphological change detection algorithm satisfies these requirements. Threshold is a very important issue for morphological change detection. Threshold...

This paper describes an approach to reconstruct the complete history of a 3-d scene over time from imagery. The proposed approach avoids rebuilding 3-d models of the scene at each time instant. Instead, the approach employs an initial 3-d model which is continuously updated with changes in the environment to form a full 4-d representation. This updating scheme is enabled by a novel algorithm th...

One of the law-like regularities of psychological science is that of developmental progression – an increase in sensorimotor, cognitive, and social functioning from childhood to adulthood. Here we report a rare violation of this law – a developmental reversal in attention. In Experiment 1, 4to-5-year-olds (N= 34) and adults (N = 35) performed a change detection task that included externally cue...

Change detection is a classic paradigm that has been used for decades to argue that working memory can hold no more than a fixed number of items ("item-limit models"). Recent findings force us to consider the alternative view that working memory is limited by the precision in stimulus encoding, with mean precision decreasing with increasing set size ("continuous-resource models"). Most previous...

the problems of sequential change-point have several important applications in quality control, signal processing, and failure detection in industry and finance. we discuss a bayesian approach in the context of statistical process control: at an unknown time $tau$, the process behavior changes and the distribution of the data changes from p0 to p1. two cases are considered: (i) p0 and p1 are fu...