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Object-Oriented Image Processing of an High Resolution ...
Object-Oriented Image Processing of an High Resolution Satellite Imagery with Perspectives for Urban Growth . ... a methodology allowing to derive meaningful area-wide spatial information for city development and management from high resolution imagery. Finally, the urban land cover classification is used to compute a spatial distribution of ......
VII VII INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE ...
land cover types using very high resolution (VHR) satellite images is efficient using object based image analysis (OBIA) approach. However, better possibilities and perspectives comparing to traditional cartographic ways of mapping can be achieved from object oriented image approach using smart mapping and a priori knowledge....
Wiley: Urban Remote Sensing: Monitoring, Synthesis and ...
Urban Remote Sensing is designed for upper level undergraduates, graduates, researchers and practitioners, and has a clear focus on the development of remote sensing technology for monitoring, synthesis and modeling in the urban environment. It covers four major areas: the use of high-resolution satellite imagery or alternative sources of image date (such as high-resolution SAR and LIDAR) for ......
 CHARACTERIZATION OF THE GROWTH OF URBAN AREAS BY ME ANS OF ...
The digital classification relevant objects to the urban planning still faces great challenges. Considering of the complex nature and diverse composition of land cover types found within the urban environment, the production of urban land cover maps from high-resolution satellite imagery is a difficult task. The...
Quantitative assessment of urban wetland dynamics using ...
We applied an object-based image analysis and nearest neighbour classifier to map and monitor changes in land use/cover using multi-temporal high spatial resolution satellite imagery in an urban ...
Land Cover Classification in a Complex Urban-Rural ...
High spatial resolution images have been increasingly used for urban land use/cover classification, but the high spectral variation within the same land cover, the spectral confusion among different land covers, and the shadow problem often lead to poor classification performance based on the traditional per-pixel spectral-based classification methods....
Dynamics of land use and land cover change (LULCC) using ...
Image pre-processing and classification. Satellite image pre-processing before change detection phenomenon is very important in order to establish a more direct affiliation between the acquired data and biophysical phenomena (Abd El-Kawya et al. 2011).Due to acquisition system and platform movements, remotely-sensed data from aircrafts or satellites are generally geometrically distorted....
Object-oriented land cover classification of spatially ...
Over the past several years, researchers at the University of Connecticut?s Center for Landuse Education and Research (CLEAR) have used Landsat TM and ETM imagery to map land use and land cover change for five dates over a 21 year period for the state of Connecticut. While this type of information has proven very valuable to land use decision makers at a regional scale, the spatial and ...
Validating Satellite-Derived Land Surface Temperature with ...
Processing the L5-TM satellite image to derive land surface temperature. Images of Earth were taken nearly continuously from 1 March 1984 to January 2013 on a 16-day cycle by the L5-TM, which consistently imaged the Detroit Metropolitan Region at about 1205 hours Eastern Daylight Time (EDT) at each pass.
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