Titlebook: Synthetic Aperture Radar (SAR) Data Applications; Maciej Rysz,Arsenios Tsokas,Panos M. Pardalos Book 2022 The Editor(s) (if applicable) an

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Mete Ahishali,Serkan Kiranyaz,Moncef Gabboujassociated with  positive aging. Moreover, the study shows that it is the depth of emotional closeness, namely, close interaction and intimacy with social partners that makes the greatest contribution to positive aging. Additionally, problem coping and emotion coping are found to mediate the relatio

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Change Detection in SAR Images Using Deep Learning Methods,llenging. Transfer learning methods avoid the supervised training and the labeled data gathering by exploiting pre-trained models as feature extractors for CD tasks. They achieve good results when the target images are similar to the images used to pre-train the model. We focus this chapter on the u

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A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery,s and disadvantages of these techniques, which paves the path for the design and development of workflow guidance in SAR-based aircraft detection using deep neural networks. It also serves as a baseline for future deep learning comparison in remote sensing data analytics, so as to facilitate the dom

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Automatic Determination of Different Soil Types via Several Machine Learning Algorithms Employing Rts in the classification stage. Finally, the results showed that an overall accuracy of 91.1% with K-NN, 82.0% with ELM, and 85.2% with NB algorithm was computed for the classification of two soil types.

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Book 2022 feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further. Advanced empirical and machine learning models in retrieving land and ocean information — wind, wave, soil conditions, among others, are

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Book 2022nterdisciplinary sciences, the book features novel ideas, quantitative methods, and research results, promising to advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machin