This paper presents a comprehensive approach to effectively extract cartographic urban data from high resolution satellite imagery. It consists of a sequence of image processing techniques, for image segmentation, based on RGB band separation, analysis and preprocessing, followed by a morphological-based approach for data segmentation. The chosen image objects for this study are roof-tile build...

High resolution imaging spectroscopy data have been recognised as a valuable data resource for augmenting detailed material inventories that serve as input for various urban applications. Image-specific urban spectral libraries are successfully used in urban imaging spectroscopy studies. However, the regional- and sensor-specific transferability of such libraries is limited due to the wide rang...

This paper compares different image processing routines to identify suitable remote sensing variables for urban classification in the Marion County, Indiana, USA, using a Landsat 7 Enhanced Thematic Mapper Plus (ETM ) image. The ETM multispectral, panchromatic, and thermal images are used. Incorporation of spectral signature, texture, and surface temperature is examined, as well as data fusion ...

Background: One of the body image concepts is spouse image of body. It has an important role in selfesteem, relationship satisfaction and women's sexual health. That is, women with more positive spouse image of body may be more confident that their partners will continue to accept them and thus have more sexual function. This study therefore aimed to compare the relationship of spouse imag...

High resolution satellite images are now important data sources for map update in urban areas. Digital surface models (DSM) acquired by laser scanning are also becoming popular for urban planning and other applications. This paper deals with the integration of data sets of these types. An Ikonos image of an urban area was oriented, with sub-pixel accuracy, using the DSM as ground control, in or...

Panoramic images capture cityscapes of dense urban structures by mapping multiple images from different viewpoints into a single composite image. One challenge to their construction is that objects that lie at di fferent depth are often not stitched correctly in the panorama. The problem is especially troublesome for objects occupying large horizontal spans, such as telephone wires, crossing mu...

In this paper we address the problem of removing unwanted image content in a single orthographic façade image. We exploit the regular structure present in building façades and introduce a diffusion process that is guided by the symmetry prevalent in the image. It removes larger unwanted image objects such as traffic lights, street signs, or cables as well as smaller noise, such as reflections i...

SPOT panchromatic imagery of Beijing has been studied to capture the unique spatial pattern of the city. Texture analysis, which reveals spatial variations, was adopted to interpret the urban spatial patterns. Statistical and structural texture features were extracted from the SPOT image and evaluated for their capability of detailed mapping of urban structures. Supervised image classifications...