|Title||Ice/water Classification of Sentinel-1 Images|
|Year of Publication||2015|
|Authors||Korosov A, Zakhvatkina N, Muckenhuber S|
Geophysical Research Abstracts
Ice/water Classification of Sentinel-1 Images
Anton Korosov (1), Natalia Zakhvatkina (2), and Stefan Muckenhuber (1)
(1) Nansen Environmental and Remote Sensing Center, Bergen, Norway, (2) Nansen International Environmental and Remote Sensing Center, St.Petersburg, Russia
Sea Ice monitoring and classification relies heavily on synthetic aperture radar (SAR) imagery. These sensors record data either only at horizontal polarization (RADARSAT-1) or vertically polarized (ERS-1 and ERS-2) or at dual polarization (Radarsat-2, Sentinel-1). Many algorithms have been developed to discriminate sea ice types and open water using single polarization images. Ice type classification, however, is still ambiguous in some cases. Sea ice classification in single polarization SAR images has been attempted using various methods since the beginning of the ERS programme. The robust classification using only SAR images that can provide useful results under varying sea ice types and open water tend to be not generally applicable in operational regime. The new generation SAR satellites have capability to deliver images in several polarizations. This gives improved possibility to develop sea ice classification algorithms.
In this study we use data from Sentinel-1 at dual-polarization, i.e. HH (horizontally transmitted and horizontally received) and HV (horizontally transmitted, vertically received). This mode assembles wide SAR image from sev- eral narrower SAR beams, resulting to an image of 500 x 500 km with 50 m resolution.
The main results are: