Price loading...

Synthetic Aperture Radar (SAR) Data Applications: 199 (Springer Optimization and Its Applications, 199)

AI & Machine Learning

Price data last checked 103 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Product Specifications

Format: hardcover
ASIN: 303121224X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 January 2023
Listed Since: 11 October 2022

Barcode

No barcode data available

Synthetic Aperture Radar (SAR) Data Applications: 199 (Springer Optimization and Its Applications, 199)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Multi-Dimensional Imaging with Synthetic Aperture Radar: Theory and Applications

Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges (Computing and Networks)

SAR Image Analysis - A Computational Statistics Approach: With R Code, Data, and Applications

Imaging from Spaceborne and Airborne SARs, Calibration, and Applications (SAR Remote Sensing)

Imaging from Spaceborne and Airborne SARs, Calibration, and Applications (SAR Remote Sensing)

The Millimeter Wave Synthetic Aperture Radar Technology

Optical and SAR Remote Sensing of Urban Areas: A Practical Guide (Springer Geography)

Characterization of SAR Clutter and Its Applications to Land and Ocean Observations

Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications

Satellite SAR Detection of Sub-Mesoscale Ocean Dynamic Processes: 44 (Advanced Series On Ocean Engineering)

Multi-Antenna Synthetic Aperture Radar

Design Technology of Synthetic Aperture Radar (IEEE Press)

Multi-Antenna Synthetic Aperture Radar

Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications

Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach: A Signal Processing Approach

CRC Press Principles of Synthetic Aperture Radar Imaging Book

Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation (Artech House Remote Sensing Library)

Sparse Arrays for Radar, Sonar, and Communications

Synthetic Aperture Radar Signal Processing with MATLAB Algorithms

Multitemporal Remote Sensing: Methods and Applications: 20 (Remote Sensing and Digital Image Processing, 20)

Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches

Signal and Image Processing for Remote Sensing (Signal and Image Processing of Earth Observations)

Introduction to Synthetic Aperture Radar Using Python and MATLAB

Deep Learning for Unmanned Systems: 984 (Studies in Computational Intelligence, 984)