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Urban land cover/use changes like urbanization and urban sprawl have been impacting the urban ecosystems significantly therefore determination of urban land cover/use changes is an important task to u...
China have occurred unprecedented urban growth over the last two decades. It is reported that the level of China’s urbanization increased from 18 % in 1978 to 41 % in 2003, and this figure...
With the rapid developments of the sensor technology, high spatial resolution imagery and airborne Lidar point clouds can be captured nowadays, which make classification, extraction, evaluation and an...
Over the past decades, most of the remote sensing studies dealt with natural environment. The advance of remote sensing satellites and the innovative methods of proceeding high resolution images have ...
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
Nowadays, the availability of high-resolution images has increased the number of researches on urban land use and land cover classification. Most of them have used object oriented image analysis with ...
The overall objective of this research is to detect new urban areas over Stockholm Region between 1986 and 2004 using multitemporal remote sensing. Two SPOT images acquired on 13th of June 1986and 29t...
In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on partitioning imagery into image-objects with well-deᤙ...
We present a new object-oriented land cover classification method based on Support Vector Machine (SVM) by fusing spectral and textural information of High-Resolution (HR) aerial imagery and Digital...
The aim of this study is to discriminate urban land cover types using the features derived from optical and spaceborne interferometric synthetic aperture radar (InSAR) data sets. For the efficient di...
The use of high resolution IKONOS imagery should make it possible to extract urban features like buildings and roads more easily than conventional satellite image data. This work examines the synerge...
The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well hig...
In this paper a discussion about the effects of very high resolution (VHR) in both the spatial and the spectral dimensions for urban land cover mapping is proposed. We confirm that VHR spatial sensors...
Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature ...
Ever increasing advances in the resolution of satellite imagery are matched by commensurate increases in the expectations of the precision of the results emanating from the interpretation of such imag...

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