SPICES – Sea ice edge maps from the Fram Strait

• 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 Ocean; Sentinel-1; SAR; synthetic aperture radar; Support Vector Machine; Fram Strait
• Online Access: https://doi.org/10.5281/zenodo.1299355

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.