Change detection has traditionally been seen as a centralized problem. Many change detection problems are however distributed in nature and the need for distributed change detection algorithms is therefore significant. In this paper a distributed change detection algorithm is proposed. The change detection problem is first formulated as a convex optimization problem and then solved distributive...

No matter whether it is acoustic waves, quantum matter waves or optical waves of a laser—all kinds of waves can be in different states of oscillation, corresponding to different frequencies. Calculating these frequencies is part of the tools of the trade in theoretical physics. Recently, however, a special class of systems has caught the attention of the scientific community, forcing physicists...

change detection is process of identifying differences in the state of an object or phenomenon by observing it at different times when it can play an important role in regional planning. this study is an integration of remote sensing data and geographic information system in order to detect changes of land use/land cover around the bakhtegan lake in fars province from 1956 to 2007. after geomet...

Does scene-like structure enhance change detection? Theories of scene perception, neural representation of scenes and object recognition seem to imply that it should. However, extant evidence from the change detection literature is thus far ambiguous with respect to this question. The four experiments reported here demonstrate that scene-like structure does, in fact, enhance change detection. I...

Previous studies have suggested that visual short-term memory (VSTM) has a storage limit of approximately four items. However, the type of high-threshold (HT) model used to derive this estimate is based on a number of assumptions that have been criticized in other experimental paradigms (e.g., visual search). Here we report findings from nine experiments in which VSTM for color, spatial frequen...

This study presents a novel approach for building change detection from digital surface models (DSMs), which are generated from the images acquired by a multi-line digital airborne sensor ADS40. Our approach is based on building extraction, which is one of the most challenging research fields. A scheme is proposed that allows efficient integration of a local surface normal angle transform (LSNA...

Moving object detection is of significant interest in temporal image analysis since it is a first step in many object identification and tracking applications. A key component in almost all moving object detection algorithms is a pixellevel classifier, where each pixel is predicted to be either part of a moving object or part of the background. In this paper we investigate a change detection ap...

An important problem in data mining is detecting significant and actionable changes in large, complex data sets. Although there are a variety of change detection algorithms that have been developed, in practice it can be a problem to scale these algorithms to large data sets due to the heterogeneity of the data. In this paper, we describe a case study involving payment card data in which we bui...

When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated a...

An original approach for real time detection of changes in motion is presented, which can lead to the detection and recognition of events. Current video change detection focuses on shot changes, which depend on appearance, not motion. Changes in motion are detected in pixels that are found to be active via the kurtosis. Statistical modeling of the motion data shows that the Laplace distribution...