Identifying pancake ice and computing pancake size distribution in aerial photographs

Flavio Parmiggiani; Miguel Moctezuma-Flores; Lorenzo Guerrieri

doi:10.1117/12.2277537

13 October 2017 Identifying pancake ice and computing pancake size distribution in aerial photographs

Flavio Parmiggiani, Miguel Moctezuma-Flores, Lorenzo Guerrieri

Proceedings Volume 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017; 104220K (2017) https://doi.org/10.1117/12.2277537
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

This paper presents a processing scheme for the fast computation of pancake ice size distribution from aerial photographs. The test image used in this study was collected by the Twin Otter of the Naval Research Laboratory which assisted the cruise of the research ship “Sikuliaq” while carrying out an extensive study of the autumn sea ice in the southern Beaufort Sea in 2015. The processing scheme is composed of the following steps: i) image enhancement, ii) nonlinear support vector machine (SVM) analysis, and iii) ice size distribution computation. The result confirms the advantage of having immediate information on pancake ice size distribution during a field campaign in the Arctic.

Citation Download Citation

Flavio Parmiggiani, Miguel Moctezuma-Flores, and Lorenzo Guerrieri "Identifying pancake ice and computing pancake size distribution in aerial photographs", Proc. SPIE 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, 104220K (13 October 2017); https://doi.org/10.1117/12.2277537

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