期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2010
卷号:XXXVIII Part 4
出版社:Copernicus Publications
摘要:In this paper we present an automatic approach for coastline detection from images which is based on parametric active contours(snakes). Snakes require the definition of an energy functional that reflects the underlying coastline model. As for Antarctica, ourapplication domain, the coastline appearance in the used optical images is heterogeneous. Therefore, a single model does not workequally well in all situations. On the basis of an up-to-date Landsat mosaic three different models are formulated that match a large partof the Antarctic coastline, i.e. the transition from ice shelf to water, from ice shelf to sea ice and from rocky terrain to water. For each ofthe three different cases the energy terms are optimized based on the radiometric properties of the adjacent regions as well as thecurvature and the potential change-rate of the coastline itself. A supervised classification for the three classes ice, water and rocky terraincontrols the whole process by choosing the most applicable model for a certain image region. With a view to the practical application thedeveloped approach was integrated into a semiautomatic system, where the human operator supervises the optimization process of thecontour and interactively corrects the results if the system fails.