Recently, land use and cover change is recognized as a one of major drivers of global change. Consequently, an updated and accurate database concerning their distribution is essential for global change research. This study investigated a land use change based on change of temporal pattern which applied to the wavelet-filtered MODIS EVI from 2000 to 2009. The temporal pattern analysis was able t...

In this paper, an approach to reducing the effects of registration noise in unsupervised change detection is proposed. The approach is formulated in the framework of the change vector analysis (CVA) technique. It is composed of two main phases. The first phase aims at estimating in an adaptive way (given the specific pair of images considered) the registration-noise distribution in the magnitud...

Change awareness is the ability of individuals to track the asynchronous changes made to a collaborative document or graphical workspace by other participants over time. We develop a framework that articulates what change awareness information is critical if people are to track and maintain change awareness. Information elements include: knowing who changed the artifact, what those changes invo...

being very dynamic, natural and artificial land features are changing somewhat rapidly in over lifetime. it is important that such changes be inventoried accurately so that the physical and human processes at work can be more fully understood. change detection is a technique used in remote sensing to determine the changes in a particular object of study between two or more time periods. this re...

This paper presents a post-classification approach that can achieve efficient results for change detection by using AdaBoost classifier. In the first step, a land cover of satellite image is classified in the independent fashion. For the stable classification of man-made structures, 3D features are employed. 3D co-occurrence feature is used with 2D co-occurrence feature and Harr-like feature. A...

Estimating network distance between arbitrary Internet endpoints is an essential primitive in applications ranging from performance optimization to network debugging and auditing. Enabling such a primitive without deploying new infrastructure was demonstrated via DNS. However, the proliferation of DNS hosting has made DNS-based measurement techniques far less dependable. In this paper, we show ...

The purpose of this paper is to study some statistical problems : parameter estimation, binary detection , change detection (disorder problem), etc. for partially observed diiusion processes, using the likelihood approach. It is shown that the stochastic PDE related to the state estimation problem, provides also a way to compute the likelihood function/ratio. A recent result on consistency of t...

Automatic change detection particularly in urban areas is the important tools for their management and planning. This paper presents a feature based method to detect changes in urban area using two LIDAR data sets acquired at different times. The main processes in the method are to detect the change areas through the subtraction between the two DSMs generated from the two individual LIDAR sets,...

An original approach for real time detection of changes in motion is presented, for detecting and recognizing events. Current video change detection focuses on shot changes, based on appearance, not motion. Changes in motion are detected in pixels that are found to be active, and this motion is input to sequential change detection, which detects changes in real time. Statistical modeling of the...

In this interesting paper Professor Nikiforov reviewed the current state of quickest change detection/isolation problem. In our discussion of his paper we focus on the concerns and the opportunities of the subfield of quickest change detection, or more generally, sequential methodologies, in the modern