due to the increase of changes in the land uses mainly resulting from humaninterferences, monitoring the changes and evaluating their trend and environmental effectsfor future planning and management are essential. in the present study, an attempt is madeto observe the changes which had occurred in ardestan area during a period of 30 yearsusing some satellite images. different kinds of data for...

Efficient and effective change detection and notification is becoming increasingly important for environments such as WWW and distributed heterogeneous systems. Change detection for structured data has been studied extensively. Change detection and notification for unstructured data in the form of html and XML documents is the goal of this work. The objectives of this work are to investigate th...

Five aspects of visual change detection are reviewed. The first concerns the concept of change itself, in particular the ways it differs from the related notions of motion and difference. The second involves the various methodological approaches that have been developed to study change detection; it is shown that under a variety of conditions observers are often unable to see large changes dire...

Detection of an item changing its location from one instance to another is typically unaffected by changes in the shape or color of contextual items. However, we demonstrate here that such location change detection is severely impaired if the elongated axes of contextual items change orientation, even though individual locations remain constant and even though the orientation was irrelevant to ...

The major aim of processing satellite images is to prepare topical and effectivemaps. The selection of appropriate classification methods plays an important role. Amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. In present study, TM images of 1987, and ETM+ images of 2000 and 2006were analyzed using artificial fuzzy ARTMAP neural netwo...

A new set of features for robust change detection is proposed. These features are obtained from a transformation of the thresholded intensity difference image. Their performance is tested on two video sequences acquired in a human-machine interaction scenario under very different illumination conditions. Several performance measures are computed and a comparison with other well known classical ...

It is well-known that forests play a vital role in maintaining biodiversity and the health of ecosystems across the Earth. This important ecological resource is under threat from both anthropogenic and biogenic pressures, ranging from insect infestations to commercial logging. Detecting, quantifying and reporting the magnitude of forest degradation are therefore critical to efforts towards mini...

This paper describes the potential of Radarsat-1 fine beam intensity SAR images in urban mapping and change detection. The main objective was to determine the possibility of building detection e.g. as a function of height, orientation, roof material and roof type in the Helsinki metropolitan region. Altogether 22235 buildings were used to estimate the effect of height, and then 14270 buildings ...

The amplitude distribution in a SAR image can present a heavy tail. Indeed, very high–valued outliers can be observed. In this paper, we propose the usage of the Harmonic, Geometric and Arithmetic temporal means for amplitude statistical studies along time. In general, the arithmetic mean is used to compute the mean amplitude of time series. In this study, we will show that comparing the behavi...

Change detection in urban areas requires the comparison of multi-temporal remote sensing data. ALS (airborne laser scanning) is one of the established techniques to deliver these data. A novelty of our approach is the consideration of multiple views that are acquired with an oblique forward-looking laser scanner. In addition to advantages in terms of data coverage, this configuration is ideally...