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Detecting clouds and their shadows is one of the primaries steps to perform when processing satellite images because they may alter the quality of some products such as large-area orthomosaics. The ma...
The overarching goal of this study was to use one of the simple level set methodologies for extracting water boundaries using high resolution satellite images. In the first part of the paper, study ar...
In recent years the research activity in image registration has grown at the same pace as the high resolution satellite images have found their way to end users. Much of this research activity has con...
High resolution satellite images such as IKONOS and Quick Bird data provide detail information of land cover at a certain point of time. The small objects in an image represent specific conditions of ...
In forest area, there are few landmarks to be ground control points (GCPs) used for registration of satellite images or maps. Additionally,geographic information from the Global Positioning System (GP...
Many researchers conducted efforts for improving the accuracy of road extraction from satellite images. Many studies have used optical spectrum information of each pixel for road extraction. By applyi...
This work aims at extracting 2D buildings from a single high-resolution satellite image in densely built-up urban areas. The whole algorithm follows the hypothesis-verification strategy.
Over the years, satellite based remote sensing data have been successfully utilized for mapping, monitoring, planning and development of urban sprawl, urban land use and urban environment. In the pres...
The data of satellite remote sensing can provide the object information of the earth’s surface accurately. Now the commercial satellites can provide the satellite images with the resolution between 1 ...
Object based image processing and analysis is challenging research in very high resolution satellite utilisation. Commonly ei ther pixel based classification or visual interpretation is used to recogn...

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