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K.A. Scott
K.A. Scott
Associate Professor, Mechanical and Mechatronics Engineering, University of Waterloo
Verified email at uwaterloo.ca
Title
Cited by
Cited by
Year
Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: A case study
L Wang, KA Scott, L Xu, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4524-4533, 2016
1992016
Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network
L Wang, KA Scott, DA Clausi
Remote Sensing 9 (5), 408, 2017
772017
Estimating sea ice concentration from SAR: Training convolutional neural networks with passive microwave data
CLV Cooke, KA Scott
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4735-4747, 2019
482019
Sea ice and open water classification of SAR imagery using CNN-based transfer learning
Y Xu, KA Scott
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
372017
Direct assimilation of AMSR-E brightness temperatures for estimating sea ice concentration
KA Scott, M Buehner, A Caya, T Carrieres
Monthly weather review 140 (3), 997-1013, 2012
352012
Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model
KK Kheyrollah Pour, H., Duguay, C., Scott, K.A. and Kang
IEEE Transactions on Geoscience and Remote Sensing, 2017
312017
Evaluation of a neural network with uncertainty for detection of ice and water in SAR imagery
N Asadi, KA Scott, AS Komarov, M Buehner, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 59 (1), 247-259, 2020
292020
RUF: Effective sea ice floe segmentation using end-to-end RES-UNET-CRF with dual loss
AS Nagi, D Kumar, D Sola, KA Scott
Remote Sensing 13 (13), 2460, 2021
282021
Automatic detection of the ice edge in SAR imagery using curvelet transform and active contour
J Liu, KA Scott, A Gawish, P Fieguth
Remote Sensing 8 (6), 480, 2016
272016
An assessment of sea-ice thickness along the Labrador coast from AMSR-E and MODIS data for operational data assimilation
KA Scott, M Buehner, T Carrieres
IEEE Transactions on geoscience and remote sensing 52 (5), 2726-2737, 2013
262013
Sea ice concentration estimation: Using passive microwave and SAR data with a U-Net and curriculum learning
K Radhakrishnan, KA Scott, DA Clausi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
242021
Retrieval of ice/water observations from synthetic aperture radar imagery for use in lake ice data assimilation
KA Scott, L Xu, HK Pour
Journal of Great Lakes Research 46 (6), 1521-1532, 2020
182020
Acoustic excitation by flow in T-junctions
S Ziada, A Scott, D Arthurs
162007
Improved sea ice concentration estimation through fusing classified SAR imagery and AMSR-E data
L Wang, KA Scott, DA Clausi
Canadian Journal of Remote Sensing 42 (1), 41-52, 2016
152016
Assimilation of ice and water observations from SAR imagery to improve estimates of sea ice concentration
KA Scott, Z Ashouri, M Buehner, L Pogson, T Carrieres
Tellus A: Dynamic Meteorology and Oceanography 67 (1), 27218, 2015
132015
Data fusion and data assimilation of ice thickness observations using a regularisation framework
N Asadi, KA Scott, DA Clausi
Tellus A: Dynamic Meteorology and Oceanography 71 (1), 1564487, 2019
122019
Collecting empirically derived SAR characteristic values over one year of sea ice environments for use in data assimilation
L Pogson, T Geldsetzer, M Buehner, T Carrieres, M Ross, KA Scott
Monthly Weather Review 145 (1), 323-334, 2017
112017
A preliminary evaluation of the impact of assimilating AVHRR data on sea ice concentration analyses
KA Scott, M Buehner, A Caya, T Carrieres
Remote Sensing of Environment 128, 212-223, 2013
112013
Uncertainty-incorporated ice and open water detection on dual-polarized SAR sea ice imagery
X Chen, KA Scott, L Xu, M Jiang, Y Fang, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023
102023
Incorporating aleatoric uncertainties in lake ice mapping using RADARSAT–2 SAR images and CNNs
N Saberi, KA Scott, C Duguay
Remote Sensing 14 (3), 644, 2022
102022
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