MACHINE LEARNING TECHNIQUES FOR KNOWLEDGE EXTRACTION FROM SATELLITE IMAGES: APPLICATION TO SPECIFIC AREA TYPES
نویسندگان
چکیده
Abstract. When we want to extract knowledge form satellite images, several well-known image classification and analysis techniques can be concatenated or combined gain a more detailed target understanding. In our case, concentrated on specific extended areas such as polar ice-covered surfaces, forests shrouded by fire plumes, flooded areas, shorelines. These types described characteristic features statistical relationships. Here, demonstrate that both multispectral (optical) well SAR (Synthetic Aperture Radar) images used for extraction. The free availability of data provided the European Sentinel-1 Sentinel-2 satellites allowed us conduct series experiments verified approaches. This could already in recent work quantitative quality tests.
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2021
ISSN: ['1682-1777', '1682-1750', '2194-9034']
DOI: https://doi.org/10.5194/isprs-archives-xliii-b3-2021-455-2021