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The studies in the classification of the urban spatial structure have been essential in deriving insights into the land cover and the built typology which helped in the estimation of energy consumptio...
Identification and mapping of urban features such as buildings and roads are an important task for cartographers and urban planners. High resolution satellite imagery supports the efficient extraction...
As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images. Roads are...
Accurate information about the built-up area in a city or town is essential for urban planners for proper planning of urban infrastructure facilities and other basic amenities. The normalized differen...
Mangroves are important for survival of coastal communities as they provide ecosystem services that support coastal population and their livelihoods. Most coastal communities largely depend on ecosyst...
Remote sensing optical image cloud detection is one of the most important problems in remote sensing data processing. Aiming at the information loss caused by cloud cover, a cloud detection method bas...
There are many shadows on the high spatial resolution satellite images, especially in the urban areas. Although shadows on imagery severely affect the information extraction of land cover or land use,...
In this study, Landsat-7 ETM+ satellite imagery, dated 04.07.2000, was processed to find out a power plant solid waste effect on the surrounding environment, dispersion in the sea and possible impac...
This paper proposes a framework for generating bare-land Digital Elevation Model (DEM) in urban areas by combining highresolution satellite imagery and Airborne Laser Scanning (ALS) data. Airborne las...

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