Synthetic Aperture Radar (SAR) Data Applications
portes grátis
Synthetic Aperture Radar (SAR) Data Applications
Pardalos, Panos M.; Rysz, Maciej; Dipple, Kathleen M.; Tsokas, Arsenios; Fair, Kaitlin L.
Springer International Publishing AG
01/2023
278
Dura
Inglês
9783031212246
15 a 20 dias
600
Descrição não disponível.
End-to-End ATR Leveraging Deep Learning (M. Kreucher).- Change Detection in SAR Images using Deep Learning Methods (Bovolo).- Homography Augmented Momentum Contrastive Learning for SAR Image Retrieval (M. Rysz).- Synthetic Aperture Radar Image Based Navigation Using Siamese Neural Networks (Semenov).- A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery (L. Chen).- Machine Learning Methods for SAR Interference Mitigation (Huang).- Classification of SAR Images using Compact Convolutional Neural Networks (Ahishali).- Multi-frequency Polarimetric SAR Data Analysis for Crop Type Classification using Random Forest (Mandal).- Automatic Determination of Different Soil Types via Several Machine Learning Algorithms Employing Radarsat-2 SAR Image Polarization Coefficients (E. Acar).- Ocean and coastal area information retrieval using SAR polarimetry (A. Buono).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
synthetic aperture radar;SAR;land cover classification;forestation monitoring;biomass estimation;ocean surface topology;oil spill detection;bathymetry;deformation earthquakes;SAR odometry;aircraft navigation;machine learning;statistics learning;inversion models;wavelet transformation;objection detection
End-to-End ATR Leveraging Deep Learning (M. Kreucher).- Change Detection in SAR Images using Deep Learning Methods (Bovolo).- Homography Augmented Momentum Contrastive Learning for SAR Image Retrieval (M. Rysz).- Synthetic Aperture Radar Image Based Navigation Using Siamese Neural Networks (Semenov).- A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery (L. Chen).- Machine Learning Methods for SAR Interference Mitigation (Huang).- Classification of SAR Images using Compact Convolutional Neural Networks (Ahishali).- Multi-frequency Polarimetric SAR Data Analysis for Crop Type Classification using Random Forest (Mandal).- Automatic Determination of Different Soil Types via Several Machine Learning Algorithms Employing Radarsat-2 SAR Image Polarization Coefficients (E. Acar).- Ocean and coastal area information retrieval using SAR polarimetry (A. Buono).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
synthetic aperture radar;SAR;land cover classification;forestation monitoring;biomass estimation;ocean surface topology;oil spill detection;bathymetry;deformation earthquakes;SAR odometry;aircraft navigation;machine learning;statistics learning;inversion models;wavelet transformation;objection detection
