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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Synthetic Aperture Radar (Sar) Data Applications

Synthetic Aperture Radar (Sar) Data Applications

Rysz, Maciej
Tsokas, Arsenios
Dipple, Kathleen M.

Paperback

Series: Springer Optimization and Its Applications, Book 199

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 3031212274
ISBN13: 9783031212277
Publisher: Springer Nature
Published: Jan 20 2024
Pages: 278
Weight: 0.90
Height: 0.61 Width: 6.14 Depth: 9.21
Language: English

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 technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding 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 also included.

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