Land Cover Classification of Deception Island with SAR and Optical Images
Vittoria Marolo
Land Cover Classification of Deception Island with SAR and Optical Images.
Rel. Piero Boccardo, Rogelio De La Vega Panizo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2021
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Abstract
Optical images are widely used for land cover identification purposes, although they have flaws such as being unusable at night or in the presence of clouds. SAR images, on the other hand, do not depend on solar illumination as they work with microwave pulses, and therefore overcome these problems. They are, however, more difficult to interpret, firstly because they differ from what the human eye is accustomed to seeing, and secondly because they present noise such as speckle which diminishes the quality of the image. There are studies on their use in urban contexts and above all based on multiple polarimetry images, which are easier to process, but there are only few studies based on single polarimetry images and acquired in more complicated contexts, where contrasts and geometries are less marked than in urban contexts.
The aim of this work is therefore to classify an optical image, acquired by the Sentinel 2 satellite, and a single polarimetry SAR image, acquired by Sentinel 1, depicting a non-urbanized area, Deception Island, and in temporal proximity: one the day after the other, so as to be able to compare the results, in order to evaluate the possible use of SAR images to replace optical ones when conditions render the latter unusable
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