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Synthetic Aperture Radar (SAR) Data Applications

This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results, promising to advance computational practices and...

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Bibliographic Details
Other Authors: Rysz, Maciej (Editor), Tsokas, Arsenios (Editor), Dipple, Kathleen M. (Editor), Fair, Kaitlin L. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Springer Optimization and Its Applications
Subjects:
Machine Learning
Data Analysis And Big Data
Statistics 
Artificial Intelligence
Quantitative Research
Calculus Of Variations And Optimization
Statistics
Mathematical Optimization
Calculus Of Variations
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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)

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