暂无分享,去创建一个
Nantheera Anantrasirichai | Fabien Albino | Juliet Biggs | David Bull | N. Anantrasirichai | J. Biggs | F. Albino | D. Bull
[1] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Min Chen,et al. Deep Learning for Imbalanced Multimedia Data Classification , 2015, 2015 IEEE International Symposium on Multimedia (ISM).
[3] Zhenhong Li,et al. Generation of real‐time mode high‐resolution water vapor fields from GPS observations , 2017 .
[4] David Bull,et al. Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data , 2018, Journal of Geophysical Research: Solid Earth.
[5] Dimitrios Gunopulos,et al. Indexing Multidimensional Time-Series , 2004, The VLDB Journal.
[6] Joachim Weickert,et al. How to Choose Interpolation Data in Images , 2009, SIAM J. Appl. Math..
[7] Zhenhong Li,et al. Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model , 2018 .
[8] Haibo He,et al. Learning from Imbalanced Data , 2009, IEEE Transactions on Knowledge and Data Engineering.
[9] Marie-Pierre Doin,et al. Improving InSAR geodesy using Global Atmospheric Models , 2014 .
[10] Ian Parsons,et al. Surface deformation due to shear and tensile faults in a half-space , 1986 .
[11] Zhong Lu,et al. Investigating long-term subsidence at Medicine Lake Volcano, CA, using multitemporal InSAR , 2014 .
[12] Susanna K. Ebmeier,et al. Application of independent component analysis to multitemporal InSAR data with volcanic case studies , 2016 .
[13] Lars Schmidt-Thieme,et al. Cost-sensitive learning methods for imbalanced data , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[14] Masakazu Matsugu,et al. Subject independent facial expression recognition with robust face detection using a convolutional neural network , 2003, Neural Networks.
[15] Rowena B. Lohman,et al. Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling , 2005 .
[16] Andrew Hooper,et al. Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation , 2018, Journal of Geophysical Research: Solid Earth.
[17] Yuhong Li,et al. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] James Jackson,et al. The 1994 Sefidabeh (eastern Iran) earthquakes revisited: new evidence from satellite radar interferometry and carbonate dating about the growth of an active fold above a blind thrust fault , 2006 .
[19] Mark Simons,et al. Deformation due to a pressurized horizontal circular crack in an elastic half-space, with applications to volcano geodesy , 2001 .
[20] Fuk K. Li,et al. Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.
[21] Tamsin A. Mather,et al. Applicability of InSAR to tropical volcanoes: insights from Central America , 2013 .
[22] Pierre Baldi,et al. Learning Activation Functions to Improve Deep Neural Networks , 2014, ICLR.
[23] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[24] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[25] Jan-Peter Muller,et al. Interferometric synthetic aperture radar (InSAR) atmospheric correction: GPS, moderate resolution Imaging spectroradiometer (MODIS), and InSAR integration , 2005 .
[26] David R. Bull,et al. Defectnet: Multi-Class Fault Detection on Highly-Imbalanced Datasets , 2019, 2019 IEEE International Conference on Image Processing (ICIP).
[27] R. S. J. Sparks,et al. Global link between deformation and volcanic eruption quantified by satellite imagery , 2014, Nature Communications.
[28] K. Mogi. Relations between the Eruptions of Various Volcanoes and the Deformations of the Ground Surfaces around them , 1958 .
[29] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[30] T. Wright,et al. Statistical comparison of InSAR tropospheric correction techniques , 2015 .
[31] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[32] Zhong Lu,et al. Systematic assessment of atmospheric uncertainties for InSAR data at volcanic arcs using large-scale atmospheric models: Application to the Cascade volcanoes, United States , 2015 .
[33] Vir V. Phoha,et al. K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods , 2007, IEEE Transactions on Knowledge and Data Engineering.
[34] Nathalie Japkowicz,et al. Concept-Learning in the Presence of Between-Class and Within-Class Imbalances , 2001, Canadian Conference on AI.
[35] Simon A. Carn,et al. Synthesizing multi-sensor, multi-satellite, multi-decadal datasets for global volcano monitoring , 2018, Journal of Volcanology and Geothermal Research.
[36] R. Hanssen. Radar Interferometry: Data Interpretation and Error Analysis , 2001 .
[37] Zhenhong Li,et al. Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations , 2018, Journal of Geophysical Research: Solid Earth.
[38] Christian S. Jensen,et al. Outlier Detection for Multidimensional Time Series Using Deep Neural Networks , 2018, 2018 19th IEEE International Conference on Mobile Data Management (MDM).
[39] T. Wright,et al. Multi-interferogram method for measuring interseismic deformation: Denali Fault, Alaska , 2007 .
[40] A. Hooper,et al. Volcanology: lessons learned from synthetic aperture radar imagery , 2014 .