Urban space can be the most successful public arena in this century if employ the potentialsfor collective cooperation in creative ways in order to provide further services. The theory of creative city tries tostrengthen the qualities which enhance the image of a city for the citizens and create a dynamic city in terms of cultureand intercultural learning. Therefore, the existence of generator,...

In this paper, we present an object-based approach for urban land cover classification from high-resolution multispectral image data that builds upon a pixel-based fuzzy classification approach. This combined pixel/object approach is demonstrated using pan-sharpened multispectral IKONOS imagery from dense urban areas. The fuzzy pixel-based classifier utilizes both spectral and spatial informati...

With the rapid progress of China’s urbanization, research on the automatic detection of land-use patterns in Chinese cities is of substantial importance. Deep learning is an effective method to extract image features. To take advantage of the deep-learning method in detecting urban land-use patterns, we applied a transfer-learning-based remote-sensing image approach to extract and classify feat...

This paper demonstrates the application and usage of current remote sensing techniques for estimating and depicting Urban Environmental Quality at detailed level from satellite images. Temperature data derived from Landsat ETM+, Vegetation Index derived from high resolution IKONOS multispectral images, digitized data of the city urban infrastructure and 3-D virtual reality models were integrate...

Urban landscapes form the main parts of the city. One of these spaces is urban streets, in whichsocial interactions and urban vitality reach its maximum quality and quantity. One of the principles and properties ofurban landscape design is its intelligibility. A viewer who takes a look at an intelligible city and knows it can attract newemotional manifestations of city without damaging its orig...

This paper aims to put forward a seamless mosaic method of UAV image for dense urban area, which can effectively avoid seam-line pass through the edge of the building, so as to eliminate the ghosting, dislocation and seam in the image mosaic process. Firstly, the radiation error of UAV image are corrected by Wallis algorithm, and extract the corresponding points from the adjacent images by SIFT...

Linear feature extraction has always been a center of attraction for various applications such as urban planning, GIS database update, disaster management, tracking and monitoring and so on. So an accurately extracted image containing roads as the principle component is the need of the hour. With the development of various satellite image processing technologies, the extraction or mapping of li...

In the times of wide uses of commercialized high resolution satellite imageries, urban remote sensing is regarded as one of the important application fields. Currently, the main subjects and issues in urban remote sensing focus on the various attempts and approaches for these types of image data sets, distinguished from conventional image processing in remote sensing. Three types of different s...

We present an exploratory project aiming at progressing in studies concerning the following issue: when assessing the thematic classification accuracy, which should be the appropriate scale of the ground truth in relation to the resolution of satellite images used in the classification procedure? The work presented is the implementation stage of the procedures necessary to carry on this kind of...

This study introduces and evaluates a new methodology using information on image spatial form (spatial metrics) to describe structures and changes in urban land use. The metrics were calculated for segmented areas of homogenous urban land use structure derived from digitally classified color infrared aerial photographs. The results indicate a useful description and separation of three urban lan...