| Summary: | With an increasing volume of digital image data obtained from various aircraft and satellite sensors, remote sensing image analysis is becoming more and more important. Effective use of this remote sensing image requires an accurate extraction of information contained in the data. Many image processing and analysis techniques have been developed to aid the interpretation of remote sensing images and to extract as much information as possible from the images. Relevant applications are constantly expanding, from all kinds of land use and land cover mapping applications (such as glaciers and sea ice) to detect and track air pollution and oil leak, the mineralogy of other measurement of earth's surface and atmosphere. The objective of this research is to study the processes of Arctic coastal environment at the intersection between the marine, terrestrial, atmospheric and cryospheric environments. We use ground-based and remote sensing observations to create an integrated Synthetic Aperture Radar (SAR) image processing system for segmentation and classification based on different types of surface in Barrow area.
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