SPICES – Sea ice edge maps from the Kara Sea

• Main Authors: Babiker, Mohamed, Korosov, Anton, Park, Jeong-Won, Hamre, Torill, Yamakawa, Asuka
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2018
• Subjects: Sea ice; Arctic; Sentinel-1; SAR; synthetic aperture radar; Support Vector Machine; Kara Sea
• Online Access: https://doi.org/10.5281/zenodo.1310855

SeaiceedgemapsderivedfromSentinel-1SARdualpolarisationEWimagesusingaSupportVectorMachine(SVM)algorithm.ThisalgorithmisbasedonaSVMapproach,andinadditionusestexturecalculationandprincipalcomponentanalysis(PCA)toclassifyseaicetypes(Korosovetal.,2016).Themainstepsofthealgorithmsinclude:(1)pre-processingoftherawSARdata,(2)calculationoftexturefeatures,(3)unsupervisedpre-classificationoftheimageusingPCAandk-meansclusteranalysistoreducethenumberoficeclasses,(4)expertre-classificationoftheimageintothepre-calculatedclasses,(5)trainingoftheSVMusinginputfromthepreviousstep,and(6)classifyingthefullimageintothereducednumberofclassesusingthetrainedSVM.Togenerateaniceedgeproduct,theSVMalgorithmisusedwithonlytwoclasses:seaiceandopenwater. Korosov,A.,N.Zakhvatkina,A.Vesman,A.Mushta,andS.Muckenhuber,SeaiceclassificationalgorithmforSentinel-1images,PosteratESALivingPlanetSymposium2016,Prague,CzechRepublic,9-13may,2016.