now days, citizens safety in urban spaces is one of the most important worries of urban managers. this may be reflected in different characters of urban spaces such as physical, social and economical and even political characters. with regard to increasing crimes and complexities of urban spaces, trying for achieve to sustainable, healthy and good cities mean in providing the safety environment...

There has been growing interest in the application of fractal geometry to observe spatial complexity of natural features at different scales. This study utilized three different fractal approaches—isarithm, triangular prism, and variogram—to characterize texture features of urban land-cover classes in highresolution image data. For comparison purpose and to better evaluate the efficiency of fra...

Land cover is critical information to various land management and scientific applications, including biogeochemical and climate modeling. In addition, fire is an essential factor in shaping of vegetation structures, as well as for the functioning of savanna ecosystems. Remote sensing has long been an important and effective means of mapping and monitoring land cover and burned area over large a...

This paper presents a robust multi-cue approach to the integrated detection and tracking of pedestrians in cluttered urban environment. A novel spatio-temporal object representation is proposed that combines a generative shape model and a discriminative texture classifier, both composed of a mixture of pose-specific submodels. Shape is represented by a set of linear subspace models, an extensio...

In this paper we present a method which progresses towards automatically generating the texture maps for the building façades of an existing coarse three dimensional urban model. Rather than focusing on a method for achieving the exact texture map the algorithm creates two texture maps. These represent the building façade’s wall material and building features, such as windows and doors. The pap...

Image texture is increasingly being integrated into classification procedures using remotely sensed data. This research examined the utility of texture measures when integrated within established approaches for monitoring urban development. Landsat-7 satellite data for the years 1999 and 2002 were enhanced through a pansharpening process to provide 15 metre spatial resolution multispectral data...

In this paper we tackle the problem of texture segmentation using a joint spectral and spatial analysis of pixel distribution. Hyperspectral images are considered and using a Markovian model we develop a vectorial approach for this image type. A classification algorithm using this model has been implemented for extracting and classifying urban areas. Results obtained from AVIRIS images are shown.

introduction the increasing use of satellite remote sensing data for civilian use has proved to be the most cost-effective means of mapping and monitoring for environmental changes. satellite remote sensing has played a pivotal role in finding forest cover, vegetation type and land use changes in urban areas. one of the most complete of these methods is classification. the conventional per-pixe...