Machine learning for forward and inverse scattering in synthetic aperture radar (English)
- New search for: DeGuchy, Omar
- New search for: Alvarez, Jacqueline
- New search for: Kim, Arnold
- New search for: Marcia, Roummel F.
- New search for: Tsogka, Chrysoula
- New search for: DeGuchy, Omar
- New search for: Alvarez, Jacqueline
- New search for: Kim, Arnold
- New search for: Marcia, Roummel F.
- New search for: Tsogka, Chrysoula
In:
Proc. SPIE
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11511
; 115110S
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2020
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ISBN:
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ISSN:
- Conference paper / Electronic Resource
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Title:Machine learning for forward and inverse scattering in synthetic aperture radar
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Contributors:DeGuchy, Omar ( author ) / Alvarez, Jacqueline ( author ) / Kim, Arnold ( author ) / Marcia, Roummel F. ( author ) / Tsogka, Chrysoula ( author )
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Conference:Applications of Machine Learning 2020 ; 2020 ; Online Only,California,United States
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Published in:Proc. SPIE ; 11511 ; 115110S
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Publisher:
- New search for: SPIE
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Publication date:2020-08-19
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ISBN:
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ISSN:
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DOI:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
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Source:
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 115110A
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Interpretation of deep learning using attributions: application to ophthalmic diagnosisSingh, Amitojdeep / Mohammed, Abdul Rasheed / Zelek, John / Lakshminarayanan, Vasudevan et al. | 2020
- 115110C
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PColorSeg_Net: investigating the impact of different color spaces for pathological image segmentationNasrin, Shamima / Alom, Md. Zahangir / Asari, Vijayan K. / Taha, Tarek M. et al. | 2020
- 115110D
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Gastric polyps detection based on endoscopic video using modified dense micro-block difference descriptorZhdanova, M. / Voronin, V. / Semenishchev, E. / Balabaeva, O. / Zelensky, A. et al. | 2020
- 115110E
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Learning latent expression labels of child facial expression images through data-limited domain adaptation and transfer learningWitherow, Megan A. / Shields, Winston J. / Samad, Manar D. / Iftekharuddin, Khan M. et al. | 2020
- 115110F
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Fast and accurate Magnetic Resonance Image (MRI) reconstruction with NABLA-N networkAlom, Md. Zahangir / He, Lili / Taha, Tarek M. / Asari, Vijayan K. et al. | 2020
- 115110H
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Automated corneal endothelium image segmentation in the presence of cornea guttata via convolutional neural networksSierra, Juan S. / Pineda, Jesus / Viteri, Eduardo / Rueda, Daniela / Tibaduiza, Beatriz / Berrospi, Rúben D. / Tello, Alejandro / Galvis, Virgilio / Volpe, Giovanni / Millán, María S. et al. | 2020
- 115110I
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Can we make a more efficient U-Net for blood vessel segmentation?Liu, Qiong / Zhong, Ziming / Sengupta, Sourya / Lakshminarayanan, Vasudevan et al. | 2020
- 115110J
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Electrocorticographic signals classification for brain computer interfaces using stacked-autoencodersCancino, Sandra / Delgado Saa, Jaime et al. | 2020
- 115110K
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Visualization transforms of non-spatial data for convolutional neural networksSreehari, Suhas et al. | 2020
- 115110L
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On learning particle distributions in the 1D implicit Monte Carlo simulations of radiation transportMatsekh, Anna / Chacón, Luis / Park, HyeongKae / Chen, Guangye et al. | 2020
- 115110M
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Spatial optical mode decomposition using deep learningSheikh, Mumtaz et al. | 2020
- 115110N
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Robust neural network for wavefront reconstruction using Zernike coefficientsAmbrose, Adrian / Dillon, Keith et al. | 2020
- 115110O
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Automatic detection of defects in high reliability as-built parts using x-ray CTPotter, Kevin M. / Donohoe, Brendan / Greene, Benjamin / Pribisova, Abigail / Donahue, Emily et al. | 2020
- 115110P
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Automated material identification and segmentation using deep learning for laser powder bed fusionNarayanan, Barath Narayanan / Beigh, Kelly / Duning, Solomon / Erdahl, Dathan et al. | 2020
- 115110S
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Machine learning for forward and inverse scattering in synthetic aperture radarDeGuchy, Omar / Alvarez, Jacqueline / Kim, Arnold / Marcia, Roummel F. / Tsogka, Chrysoula et al. | 2020
- 115110T
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Physics-based simulated SAR imagery generation of vehicles for deep learning applicationsJones, Branndon / Ahmadibeni, Ali / Shirkhodaie, Amir et al. | 2020
- 115110U
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Transfer learning from simulated SAR imagery using multi-output convolutional neural networksAhmadibeni, Ali / Jones, Branndon / Shirkhodaie, Amir et al. | 2020
- 115110V
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Advanced automated target recognition (ATR) and multi-target tracker (MTT) with electro-optical (EO) sensorsChen, Hai-Wen / Reyes, Mark / Marquand, Brent / Robie, David et al. | 2020
- 115110W
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Super-resolution infrared spectroscopy for gas analysis using convolutional neural networksElaraby, Samar / Sabry, Yasser M. / Abuelenin, Sherif M. et al. | 2020
- 115110Z
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Automatic classification of retinal OCT images based on convolutional neural networkZhao, Mengmeng / Zhu, Shuyuan / Shan, Huang / Feng, Jihong et al. | 2020
- 1151101
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Front Matter: Volume 11511| 2020
- 1151103
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DeepFocus: a deep learning model for focusing microscope systemsIvanov, Tonislav / Kumar, Ayush / Sharoukhov, Denis / Ortega, Francis / Putman, Matthew et al. | 2020
- 1151106
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Video captioning using weakly supervised convolutional neural networksFlaute, Dylan / Narayanan, Barath Narayanan et al. | 2020
- 1151107
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DeepDenoise: a deep learning model for noise reduction in low SNR imaging conditionsIvanov, Tonislav / Kumar, Ayush / Sharoukhov, Denis / Ortega, Francis / Putman, Matthew et al. | 2020
- 1151108
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Object detection in conditional GAN transferred sensor imagesBhatia, Amit et al. | 2020
- 1151111
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Fovea localization neural network for multimodal retinal imagingAn, Cheolhong / Wang, Yiqian / Zhang, Junkang / Bartsch, Dirk-Uwe G. / Freeman, William R. et al. | 2020
- 1151112
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Application of deep learning model (DeepCOVID-19) for detecting COVID-19 cases using chest x-ray imagesDo, Cuong / Vu, Lan et al. | 2020
- 1151113
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A strategy for training 3D object recognition models with limited training data using transfer learningDo, Cuong et al. | 2020