One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm, there are several objects and each object plays some specific roles. There is a sequence of activities to develop an analysis model. In the first step, we work in developing an initial use case model. Then in the second step, they identify a number of concepts and build a glossary of partic...

IKONOS 1-m panchromatic and 4-m multispectral images were used to map mangroves in a study site located at Punta Galeta on the Caribbean coast of Panama. We hypothesized that spectral separability among mangrove species would be enhanced by taking the object as the basic spatial unit as opposed to the pixel. Three different classification methods were investigated: maximum likelihood classifica...

Although spatial measures such as texture and shape extracted from very high resolution imagery (VHR) have been successfully employed in pixel-based classifications, the effectiveness of such measures in classification mainly depends on the optimal window size in which spatial measures are calculated. However, an optimal window size is usually subjective and varies for different image and diffe...

The development of robust object-oriented classification methods suitable for medium to high resolution satellite imagery provides a valid alternative to ‘traditional’ pixel-based methods. This paper compares the results of an object-oriented classification to a supervised pixel-based classification for mapping land cover in the tropical north of the Northern Territory. The object-oriented appr...

A number of studies have been carried out to find an appropriate spatial resolution to which to aggregate data in order to reduce the variation within an object, and minimize the classification error. Such approaches are pixel-based, and do not draw on the spatial variability as a source of information. The variability within an object can provide additional information that can be used for ima...

Accurate and timely information about land cover pattern and change in urbanareas is crucial for urban land management decision-making, ecosystem monitoring andurban planning. This paper presents the methods and results of an object-basedclassification and post-classification change detection of multitemporal high-spatialresolution Emerge aerial imagery in the Gwynns Falls watershed from 1999 t...

Vehicle tracking is important in traffic monitoring systems. The behaviors of regions of moving vehicles are complicated, since the regions may combine or break during the tracking due to mistakes in vehicle detection and tracking or vehicles’ overlapping with each other, and as a result, region matching simply according to similarities between successive frames is not enough to achieve reliabl...

In resent years, remote sensing technologies are utilized in disaster management as a means of information gathering in a large scale disaster. QuickBird captured a clear image of Bam City, eight days after the 2003 Bam, Iran, earthquake. The city was also observed by QuickBird about three months before the event. In this paper, we perform building damage detection based on land cover classific...