Machine learning for forward and inverse scattering in synthetic aperture radar (Englisch)
- Neue Suche nach: DeGuchy, Omar
- Neue Suche nach: Alvarez, Jacqueline
- Neue Suche nach: Kim, Arnold
- Neue Suche nach: Marcia, Roummel F.
- Neue Suche nach: Tsogka, Chrysoula
- Neue Suche nach: DeGuchy, Omar
- Neue Suche nach: Alvarez, Jacqueline
- Neue Suche nach: Kim, Arnold
- Neue Suche nach: Marcia, Roummel F.
- Neue Suche nach: Tsogka, Chrysoula
In:
Proc. SPIE
;
11511
; 115110S
;
2020
-
ISBN:
-
ISSN:
- Aufsatz (Konferenz) / Elektronische Ressource
-
Titel:Machine learning for forward and inverse scattering in synthetic aperture radar
-
Beteiligte:DeGuchy, Omar ( Autor:in ) / Alvarez, Jacqueline ( Autor:in ) / Kim, Arnold ( Autor:in ) / Marcia, Roummel F. ( Autor:in ) / Tsogka, Chrysoula ( Autor:in )
-
Kongress:Applications of Machine Learning 2020 ; 2020 ; Online Only,California,United States
-
Erschienen in:Proc. SPIE ; 11511 ; 115110S
-
Verlag:
- Neue Suche nach: SPIE
-
Erscheinungsdatum:19.08.2020
-
ISBN:
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz (Konferenz)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Datenquelle:
Inhaltsverzeichnis Konferenzband
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 115110A
-
Interpretation of deep learning using attributions: application to ophthalmic diagnosisSingh, Amitojdeep / Mohammed, Abdul Rasheed / Zelek, John / Lakshminarayanan, Vasudevan et al. | 2020
- 115110C
-
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
-
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
-
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
-
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
-
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
-
Can we make a more efficient U-Net for blood vessel segmentation?Liu, Qiong / Zhong, Ziming / Sengupta, Sourya / Lakshminarayanan, Vasudevan et al. | 2020
- 115110J
-
Electrocorticographic signals classification for brain computer interfaces using stacked-autoencodersCancino, Sandra / Delgado Saa, Jaime et al. | 2020
- 115110K
-
Visualization transforms of non-spatial data for convolutional neural networksSreehari, Suhas et al. | 2020
- 115110L
-
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
-
Spatial optical mode decomposition using deep learningSheikh, Mumtaz et al. | 2020
- 115110N
-
Robust neural network for wavefront reconstruction using Zernike coefficientsAmbrose, Adrian / Dillon, Keith et al. | 2020
- 115110O
-
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
-
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
-
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
-
Physics-based simulated SAR imagery generation of vehicles for deep learning applicationsJones, Branndon / Ahmadibeni, Ali / Shirkhodaie, Amir et al. | 2020
- 115110U
-
Transfer learning from simulated SAR imagery using multi-output convolutional neural networksAhmadibeni, Ali / Jones, Branndon / Shirkhodaie, Amir et al. | 2020
- 115110V
-
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
-
Super-resolution infrared spectroscopy for gas analysis using convolutional neural networksElaraby, Samar / Sabry, Yasser M. / Abuelenin, Sherif M. et al. | 2020
- 115110Z
-
Automatic classification of retinal OCT images based on convolutional neural networkZhao, Mengmeng / Zhu, Shuyuan / Shan, Huang / Feng, Jihong et al. | 2020
- 1151101
-
Front Matter: Volume 11511| 2020
- 1151103
-
DeepFocus: a deep learning model for focusing microscope systemsIvanov, Tonislav / Kumar, Ayush / Sharoukhov, Denis / Ortega, Francis / Putman, Matthew et al. | 2020
- 1151106
-
Video captioning using weakly supervised convolutional neural networksFlaute, Dylan / Narayanan, Barath Narayanan et al. | 2020
- 1151107
-
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
-
Object detection in conditional GAN transferred sensor imagesBhatia, Amit et al. | 2020
- 1151111
-
Fovea localization neural network for multimodal retinal imagingAn, Cheolhong / Wang, Yiqian / Zhang, Junkang / Bartsch, Dirk-Uwe G. / Freeman, William R. et al. | 2020
- 1151112
-
Application of deep learning model (DeepCOVID-19) for detecting COVID-19 cases using chest x-ray imagesDo, Cuong / Vu, Lan et al. | 2020
- 1151113
-
A strategy for training 3D object recognition models with limited training data using transfer learningDo, Cuong et al. | 2020