Haarpaintner, J.,
Arctic-Wide Operational Sea Ice Drift From Enhanced-Resolution
QuikScat/SeaWinds Scatterometry and Its Validation,
GeoRS(44), No. 1, January 2006, pp. 102-107.
IEEE DOI
0601
BibRef
Lu, P.,
Li, Z.,
A Method of Obtaining Ice Concentration and Floe Size From Shipboard
Oblique Sea Ice Images,
GeoRS(48), No. 7, July 2010, pp. 2771-2780.
IEEE DOI
1007
BibRef
Thomas, M.[Mani],
Kambhamettu, C.[Chandra],
Geiger, C.[Cathleen],
Motion Tracking of Discontinuous Sea Ice,
GeoRS(49), No. 12, December 2011, pp. 5064-5079.
IEEE DOI
1201
BibRef
Earlier: A1, A2, A3:
Vector field resampling using local streamline approximation,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Earlier: A1, A3, A2:
Vector field characterization in ERS-1 imagery of sea ice,
WACV07(23-23).
IEEE DOI
0702
BibRef
Earlier: A1, A3, A2:
Discontinuous Non-Rigid Motion Analysis of Sea Ice using C-Band
Synthetic Aperture Radar Satellite Imagery,
Non-Rigid04(24).
HTML Version.
0502
BibRef
Girard-Ardhuin, F.,
Ezraty, R.,
Enhanced Arctic Sea Ice Drift Estimation Merging Radiometer and
Scatterometer Data,
GeoRS(50), No. 7, July 2012, pp. 2639-2648.
IEEE DOI
1208
BibRef
Dierking, W.,
Wesche, C.,
C-Band Radar Polarimetry:
Useful for Detection of Icebergs in Sea Ice?,
GeoRS(52), No. 1, January 2014, pp. 25-37.
IEEE DOI
1402
oceanographic techniques
BibRef
Berg, A.,
Eriksson, L.E.B.,
Investigation of a Hybrid Algorithm for Sea Ice Drift Measurements
Using Synthetic Aperture Radar Images,
GeoRS(52), No. 8, August 2014, pp. 5023-5033.
IEEE DOI
1403
Correlation
BibRef
Bröhan, D.[David],
Kaleschke, L.[Lars],
A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and
Frequency from AMSR-E,
RS(6), No. 2, 2014, pp. 1451-1475.
DOI Link
1403
BibRef
Komarov, A.S.,
Barber, D.G.,
Sea Ice Motion Tracking From Sequential Dual-Polarization RADARSAT-2
Images,
GeoRS(52), No. 1, January 2014, pp. 121-136.
IEEE DOI
1402
hydrological techniques
BibRef
Komarov, A.S.,
Buehner, M.,
Automated Detection of Ice and Open Water From Dual-Polarization
RADARSAT-2 Images for Data Assimilation,
GeoRS(55), No. 10, October 2017, pp. 5755-5769.
IEEE DOI
1710
data assimilation, geophysical image processing,
regression analysis, remote sensing by radar, sea ice, snow,
synthetic aperture radar, HH backscatter signal, HV backscatter signal,
Interactive Multisensor Snow and Ice Mapping System,
BibRef
Komarov, A.S.,
Buehner, M.,
Improved Retrieval of Ice and Open Water From Sequential RADARSAT-2
Images,
GeoRS(57), No. 6, June 2019, pp. 3694-3702.
IEEE DOI
1906
Ice, Synthetic aperture radar, Wind speed, Probability,
Image analysis, Data assimilation, Arctic, Ice motion,
synthetic aperture radar (SAR)
BibRef
Zhang, Q.[Qin],
Skjetne, R.,
Image Processing for Identification of Sea-Ice Floes and the Floe
Size Distributions,
GeoRS(53), No. 5, May 2015, pp. 2913-2924.
IEEE DOI
1502
geophysical image processing
BibRef
Marino, A.,
Dierking, W.,
Wesche, C.,
A Depolarization Ratio Anomaly Detector to Identify Icebergs in Sea
Ice Using Dual-Polarization SAR Images,
GeoRS(54), No. 9, September 2016, pp. 5602-5615.
IEEE DOI
1609
oceanographic techniques
BibRef
Ye, Y.F.[Yu-Fang],
Shokr, M.[Mohammed],
Heygster, G.[Georg],
Spreen, G.[Gunnar],
Improving Multiyear Sea Ice Concentration Estimates with Sea Ice
Drift,
RS(8), No. 5, 2016, pp. 397.
DOI Link
1606
BibRef
Ludwig, V.[Valentin],
Spreen, G.[Gunnar],
Pedersen, L.T.[Leif Toudal],
Evaluation of a New Merged Sea-Ice Concentration Dataset at 1 km
Resolution from Thermal Infrared and Passive Microwave Satellite Data
in the Arctic,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Ye, Y.F.[Yu-Fang],
Heygster, G.[Georg],
Shokr, M.[Mohammed],
Improving Multiyear Ice Concentration Estimates With Reanalysis Air
Temperatures,
GeoRS(54), No. 5, May 2016, pp. 2602-2614.
IEEE DOI
1604
atmospheric techniques
BibRef
Zhang, T.Y.[Tian-Yu],
Yang, Y.[Ying],
Shokr, M.[Mohammed],
Mi, C.L.[Chun-Lei],
Li, X.M.[Xiao-Ming],
Cheng, X.[Xiao],
Hui, F.M.[Feng-Ming],
Deep Learning Based Sea Ice Classification with Gaofen-3 Fully
Polarimetric SAR Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Hui, F.M.[Feng-Ming],
Li, X.Q.[Xin-Qing],
Zhao, T.C.[Tian-Cheng],
Shokr, M.[Mohammed],
Heil, P.[Petra],
Zhao, J.C.[Jie-Chen],
Liu, Y.[Yan],
Liang, S.L.[Shun-Lin],
Cheng, X.[Xiao],
Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near
Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery,
RS(8), No. 3, 2016, pp. 242.
DOI Link
1604
BibRef
Hui, F.M.[Feng-Ming],
Zhao, T.C.[Tian-Cheng],
Li, X.Q.[Xin-Qing],
Shokr, M.[Mohammed],
Heil, P.[Petra],
Zhao, J.C.[Jie-Chen],
Zhang, L.[Lin],
Cheng, X.[Xiao],
Satellite-Based Sea Ice Navigation for Prydz Bay, East Antarctica,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Heiselberg, P.[Peder],
Heiselberg, H.[Henning],
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by
Supervised Classification,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Korosov, A.A.[Anton Andreevich],
Rampal, P.[Pierre],
A Combination of Feature Tracking and Pattern Matching with Optimal
Parametrization for Sea Ice Drift Retrieval from SAR Data,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Griebel, J.[Jakob],
Dierking, W.[Wolfgang],
A Method to Improve High-Resolution Sea Ice Drift Retrievals in the
Presence of Deformation Zones,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Demchev, D.,
Volkov, V.,
Kazakov, E.,
Alcantarilla, P.F.,
Sandven, S.,
Khmeleva, V.,
Sea Ice Drift Tracking From Sequential SAR Images Using
Accelerated-KAZE Features,
GeoRS(55), No. 9, September 2017, pp. 5174-5184.
IEEE DOI
1709
feature extraction, geophysical image processing, image matching,
oceanographic techniques, radar imaging, remote sensing by radar,
synthetic aperture radar,
feature-tracking algorithm,
nonlinear multiscale image representation,
sequential satellite synthetic aperture radar image,
BibRef
Xian, Y.,
Petrou, Z.I.,
Tian, Y.,
Meier, W.N.,
Super-Resolved Fine-Scale Sea Ice Motion Tracking,
GeoRS(55), No. 10, October 2017, pp. 5427-5439.
IEEE DOI
1710
passive microwave data, single image super-resolution algorithm,
BibRef
Hyun, C.U.[Chang-Uk],
Kim, H.C.[Hyun-Cheol],
A Feasibility Study of Sea Ice Motion and Deformation Measurements
Using Multi-Sensor High-Resolution Optical Satellite Images,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Petrou, Z.I.,
Tian, Y.,
High-Resolution Sea Ice Motion Estimation With Optical Flow Using
Satellite Spectroradiometer Data,
GeoRS(55), No. 3, March 2017, pp. 1339-1350.
IEEE DOI
1703
Integrated optics
BibRef
Petrou, Z.I.,
Tian, Y.,
Prediction of Sea Ice Motion With Convolutional Long Short-Term
Memory Networks,
GeoRS(57), No. 9, September 2019, pp. 6865-6876.
IEEE DOI
1909
Sea ice, Predictive models, Arctic, Data models,
Atmospheric modeling, Numerical models, Microwave radiometry,
recurrent neural networks (RNNs)
BibRef
Akbari, V.,
Brekke, C.,
Iceberg Detection in Open and Ice-Infested Waters Using C-Band
Polarimetric Synthetic Aperture Radar,
GeoRS(56), No. 1, January 2018, pp. 407-421.
IEEE DOI
1801
geophysical image processing, radar polarimetry,
remote sensing by radar, sea ice, synthetic aperture radar,
synthetic aperture radar (SAR)
BibRef
Crawford, A.J.[Anna J.],
Mueller, D.[Derek],
Joyal, G.[Gabriel],
Surveying Drifting Icebergs and Ice Islands: Deterioration Detection
and Mass Estimation with Aerial Photogrammetry and Laser Scanning,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Kramer, T.,
Johnsen, H.,
Brekke, C.,
Engen, G.,
Comparing SAR-Based Short Time-Lag Cross Correlation and
Doppler-Derived Sea Ice Drift Velocities,
GeoRS(56), No. 4, April 2018, pp. 1898-1908.
IEEE DOI
1804
Antennas, Doppler effect, Global Positioning System, Satellites,
Sea ice, Synthetic aperture radar, Doppler measurement,
synthetic aperture radar
BibRef
Petrou, Z.I.[Zisis I.],
Xian, Y.[Yang],
Tian, Y.L.[Ying-Li],
Towards breaking the spatial resolution barriers: An optical flow and
super-resolution approach for sea ice motion estimation,
PandRS(138), 2018, pp. 164-175.
Elsevier DOI
1804
Arctic sea ice, Drift estimation, Maximum cross-correlation,
Motion tracking, Optical flow, Super-resolution
BibRef
Griebel, J.[Jakob],
Dierking, W.[Wolfgang],
Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid
Type on Calculations of Ice Deformation,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Kjerstad, Ø.K.,
Løset, S.,
Skjetne, R.,
Skarbø, R.A.,
An Ice-Drift Estimation Algorithm Using Radar and Ship Motion
Measurements,
GeoRS(56), No. 6, June 2018, pp. 3007-3019.
IEEE DOI
1806
Ice, Marine vehicles, Radar imaging, Radar tracking,
Sea measurements, Spaceborne radar, Arctic, Kalman filtering, ice,
remote Sensing
BibRef
Soldal, I.H.[Ingri Halland],
Dierking, W.[Wolfgang],
Korosov, A.[Anton],
Marino, A.[Armando],
Automatic Detection of Small Icebergs in Fast Ice Using Satellite
Wide-Swath SAR Images,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Barbat, M.M.[Mauro M.],
Wesche, C.[Christine],
Werhli, A.V.[Adriano V.],
Mata, M.M.[Mauricio M.],
An adaptive machine learning approach to improve automatic iceberg
detection from SAR images,
PandRS(156), 2019, pp. 247-259.
Elsevier DOI
1909
Icebergs, Detection, SAR, Southern Ocean, Machine learning
BibRef
Chen, S.Y.[Shi-Yi],
Shokr, M.[Mohammed],
Li, X.Q.[Xin-Qing],
Ye, Y.F.[Yu-Fang],
Zhang, Z.L.[Zhi-Lun],
Hui, F.M.[Feng-Ming],
Cheng, X.[Xiao],
MYI Floes Identification Based on the Texture and Shape Feature from
Dual-Polarized Sentinel-1 Imagery,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Farooq, U.[Usama],
Rack, W.[Wolfgang],
McDonald, A.[Adrian],
Howell, S.[Stephen],
Long-Term Analysis of Sea Ice Drift in the Western Ross Sea,
Antarctica, at High and Low Spatial Resolution,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Kim, S.H.[Seung Hee],
Kim, H.C.[Hyun-Cheol],
Hyun, C.U.[Chang-Uk],
Lee, S.J.[Sung-Jae],
Ha, J.S.[Jung-Seok],
Kim, J.H.[Joo-Hong],
Kwon, Y.J.[Young-Joo],
Park, J.W.[Jeong-Won],
Han, H.S.[Hyang-Sun],
Jeong, S.Y.[Seong-Yeob],
Kim, D.J.[Duk-Jin],
Evolution of Backscattering Coefficients of Drifting Multi-Year Sea
Ice during End of Melting and Onset of Freeze-up in the Western
Beaufort Sea,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Komarov, A.S.,
Caya, A.,
Buehner, M.,
Pogson, L.,
Assimilation of SAR Ice and Open Water Retrievals in Environment and
Climate Change Canada Regional Ice-Ocean Prediction System,
GeoRS(58), No. 6, June 2020, pp. 4290-4303.
IEEE DOI
2005
Data assimilation, ice concentration analysis, RADARSAT-2,
Regional Ice-Ocean Prediction System (RIOPS), synthetic aperture radar (SAR)
BibRef
Podgórski, J.[Julian],
Petlicki, M.[Michal],
Detailed Lacustrine Calving Iceberg Inventory from Very High
Resolution Optical Imagery and Object-Based Image Analysis,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Bailey, J.[Johnson],
Marino, A.[Armando],
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR
Data: A Comparison between Icebergs in West and East Greenland,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Heiselberg, H.[Henning],
Ship-Iceberg Classification in SAR and Multispectral Satellite Images
with Neural Networks,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Wang, M.F.[Ming-Feng],
König, M.[Marcel],
Oppelt, N.[Natascha],
Partial Shape Recognition for Sea Ice Motion Retrieval in the
Marginal Ice Zone from Sentinel-1 and Sentinel-2,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Barbat, M.M.[Mauro M.],
Rackow, T.[Thomas],
Wesche, C.[Christine],
Hellmer, H.H.[Hartmut H.],
Mata, M.M.[Mauricio M.],
Automated iceberg tracking with a machine learning approach applied
to SAR imagery: A Weddell sea case study,
PandRS(172), 2021, pp. 189 - 206.
Elsevier DOI
2101
Icebergs, SAR, Tracking, Southern Ocean, Machine learning, Antarctic
BibRef
Nagi, A.S.[Anmol Sharan],
Kumar, D.[Devinder],
Sola, D.[Daniel],
Scott, K.A.[K. Andrea],
RUF: Effective Sea Ice Floe Segmentation Using End-to-End
RES-UNET-CRF with Dual Loss,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Lopez-Lopez, L.[Ludwin],
Parmiggiani, F.[Flavio],
Moctezuma-Flores, M.[Miguel],
Guerrieri, L.[Lorenzo],
On the Detection and Long-Term Path Visualisation of A-68 Iceberg,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Guan, Z.F.[Zhen-Fu],
Cheng, X.[Xiao],
Liu, Y.[Yan],
Li, T.[Teng],
Zhang, B.G.[Bao-Gang],
Yu, Z.T.[Zhi-Tong],
Effectively Extracting Iceberg Freeboard Using Bi-Temporal Landsat-8
Panchromatic Image Shadows,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Bailey, J.[Johnson],
Marino, A.[Armando],
Akbari, V.[Vahid],
Comparison of Target Detectors to Identify Icebergs in
Quad-Polarimetric L-Band Synthetic Aperture Radar Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Kim, J.I.[Jae-In],
Hyun, C.U.[Chang-Uk],
Han, H.S.[Hyang-Sun],
Kim, H.C.[Hyun-Cheol],
Digital surface model generation for drifting Arctic sea ice with
low-textured surfaces based on drone images,
PandRS(172), 2021, pp. 147-159.
Elsevier DOI
2101
Sea ice, Digital surface model, Unmanned aerial vehicle,
Image matching, Georeferencing, Low-textured surface
BibRef
Park, J.W.[Jeong-Won],
Kim, H.C.[Hyun-Cheol],
Korosov, A.[Anton],
Demchev, D.[Denis],
Zecchetto, S.[Stefano],
Kim, S.H.[Seung Hee],
Kwon, Y.J.[Young-Joo],
Han, H.S.[Hyang-Sun],
Hyun, C.U.[Chang-Uk],
Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and
COSMO-SkyMed SAR Images,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Liu, T.T.[Ting-Ting],
Wang, Z.H.[Zi-Han],
Shokr, M.[Mohammed],
Lei, R.[Ruibo],
Zhang, Z.R.[Zhao-Ru],
An Assessment of Sea Ice Motion Products in the Robeson Channel Using
Daily Sentinel-1 Images,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Wang, X.[Xue],
Chen, R.T.[Run-Tong],
Li, C.[Chao],
Chen, Z.Q.[Zhuo-Qi],
Hui, F.M.[Feng-Ming],
Cheng, X.[Xiao],
An Intercomparison of Satellite Derived Arctic Sea Ice Motion
Products,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Fang, H.L.[Hai-Lan],
Zhang, X.[Xi],
Shi, L.J.[Li-Jian],
Bao, M.[Meng],
Liu, G.[Genwang],
Cao, C.[Chenghui],
Zhang, J.[Jie],
Evaluation of Arctic Sea Ice Drift Products Based on FY-3, HY-2,
AMSR2, and SSMIS Radiometer Data,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Qiu, H.C.[Hua-Chang],
Gong, Z.N.[Zhao-Ning],
Mou, K.[Kuinan],
Hu, J.F.[Jian-Fang],
Ke, Y.H.[Ying-Hai],
Zhou, D.[Demin],
Automatic and Accurate Extraction of Sea Ice in the Turbid Waters of
the Yellow River Estuary Based on Image Spectral and Spatial
Information,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Zhou, L.[Li],
Cai, J.[Jinyan],
Ding, S.F.[Shi-Feng],
The Identification of Ice Floes and Calculation of Sea Ice
Concentration Based on a Deep Learning Method,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Zhong, D.Y.[Deng-Yan],
Liu, N.[Na],
Yang, L.[Lei],
Lin, L.[Lina],
Chen, H.X.[Hong-Xia],
Self-Attention Convolutional Long Short-Term Memory for Short-Term
Arctic Sea Ice Motion Prediction Using Advanced Microwave Scanning
Radiometer Earth Observing System 36.5 GHz Data,
RS(15), No. 23, 2023, pp. 5437.
DOI Link
2312
BibRef
Li, Z.X.[Zong-Xing],
Lu, P.[Peng],
Zhou, J.[Jiaru],
Zhang, H.[Hang],
Huo, P.[Puzhen],
Yu, M.[Miao],
Wang, Q.K.[Qing-Kai],
Li, Z.J.[Zhi-Jun],
Evolution of the Floe Size Distribution in Arctic Summer Based on
High-Resolution Satellite Imagery,
RS(16), No. 14, 2024, pp. 2545.
DOI Link
2408
BibRef
Hu, S.W.[Si-Wei],
Chen, W.J.[Wen-Jian],
Sun, H.[Hui],
Zhou, S.[Shunbo],
Yin, J.W.[Jing-Wei],
Underwater Acoustic Scattering from Multiple Ice Balls at the
Ice-Water Interface,
RS(16), No. 17, 2024, pp. 3113.
DOI Link
2409
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Ice Shelf, Analysis .