Jun 16, 2020 · Ice Concentration From Dual-Polarization SAR Images Using Ice and Water Retrievals at Multiple Spatial Scales. Abstract: A new technique for ...

A new technique for automated retrieval of ice concentration from RADARSAT-2 dual-polarization HH-HV ScanSAR Wide images for subsequent assimilation in ice ...

In this study, we pursue the following objectives: 1) develop a set of ice/water retrieval techniques from SAR at multiple spatial scales; 2) investigate how ...

upper convolution layers model larger scale information in the image. This enables the CNN to model spatial context information at multiple scales. C. Fully ...

Ice concentration from dual-polarization SAR images using ice and water retrievals at multiple spatial scales. IEEE Trans. Geosci. Remote Sens. 2020, 59 ...

A new technique for automated retrieval of ice concentration from RADARSAT-2 dual-polarization HH-HV ScanSAR Wide images for subsequent assimilation in ice ...

In this study the use of CNNs to retrieve ice/water observations from dual-polarized SAR imagery of two of the Laurentian Great Lakes, Lake Erie and Lake ...

Mar 30, 2021 · Ice Concentration From Dual-Polarization SAR Images Using Ice and Water Retrievals at. Multiple Spatial Scales. IEEE T. Geosci. Remote, 59 ...

In this paper, we demonstrate results that the sea ice concentration data using DPR algorithm (DPR-AMSR) are evaluated and compared with other eight Arctic sea ...

In this case study, a convolutional neural network (CNN) has been used to estimate ice concentration using synthetic aperture radar (SAR) scenes captured during ...