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Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach.

M. Rahnemoonfar, G. Fox, M. Yari, и J. Paden. IEEE Trans. Geosci. Remote. Sens., 55 (9): 5115-5122 (2017)

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Wideband measurements of ice sheet attenuation and basal scattering.J. Paden, C. Allen, S. Gogineni, K. Jezek, D. Dahl-Jensen, и L. Larsen. IEEE Geosci. Remote. Sens. Lett., 2 (2): 164-168 (2005)A semi-automatic approach for estimating near surface internal layers from snow radar imagery.J. Mitchell, D. Crandall, G. Fox, и J. Paden. IGARSS, стр. 4110-4113. IEEE, (2013)Automated Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S.V. Berger, M. Xu, S. Chu, D. Crandall, J. Paden, и G. Fox. IGARSS, стр. 4162-4165. IEEE, (2018)Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet.D. Varshney, M. Rahnemoonfar, M. Yari, J. Paden, O. Ibikunle, и J. Li. Remote. Sens., 13 (14): 2707 (2021)Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods.M. Yari, O. Ibikunle, D. Varshney, T. Chowdhury, A. Sarkar, J. Paden, J. Li, и M. Rahnemoonfar. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A Mobile, Multichannel, UWB Radar for Potential Ice Core Drill Site Identification in East Antarctica: Development and First Results.F. Rodriguez-Morales, D. Braaten, H. Mai, J. Paden, P. Gogineni, J. Yan, A. Abe-Ouchi, S. Fujita, K. Kawamura, S. Tsutaki и 3 other автор(ы). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Array Manifold Calibration for Multichannel Radar ICE Sounders.T. Moore, и J. Paden. IGARSS, стр. 92-95. IEEE, (2020)High-Altitude Measurements of Snow Thickness Using Ultra-Wideband Microwave Radar.H. Talasila, F. Rodriguez-Morales, J. Paden, C. Leuschen, и S. Kaundinya. IGARSS, стр. 24-27. IEEE, (2023)Multi-channel ultra-wideband radar sounder and imager.R. Hale, H. Miller, S. Gogineni, J. Yan, F. Rodriguez-Morales, C. Leuschen, J. Paden, J. Li, T. Binder, D. Steinhage и 2 other автор(ы). IGARSS, стр. 2112-2115. IEEE, (2016)AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network.M. Rahnemoonfar, J. Johnson, и J. Paden. Sensors, 19 (24): 5479 (2019)

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