Synthetic Aperture Radar (SAR) Data Applications. 1st ed. 2022

フォーマット:

電子ブック

責任表示:

edited by Maciej Rysz, Arsenios Tsokas, Kathleen M. Dipple, Kaitlin L. Fair, Panos M. Pardalos

言語:

英語

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2022

形態:

X, 278 p. 124 illus., 91 illus. in color : online resource

著者名:

Rysz, Maciej

Tsokas, Arsenios

Dipple, Kathleen M.

Fair, Kaitlin L.

Pardalos, Panos M.

SpringerLink (Online service)

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シリーズ名:

Springer Optimization and Its Applications ; 199

目次情報:

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)

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)

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書誌ID:

IT00018581

ISBN:

9783031212253 [3031212258]      
9783031212277 [3031212274]