Signal and Image Processing for Remote Sensing
Advanced Algorithms and Applications
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This comprehensive reference provides in-depth coverage of advanced signal and image processing techniques specifically designed for remote sensing applications.
The book bridges the gap between signal/image processing theory and practical remote sensing applications, offering both fundamental concepts and cutting-edge methodologies. It’s designed for researchers, engineers, and graduate students working in remote sensing, earth observation, and related fields who need to process and analyze remote sensing data effectively.
Key topics include: - Fundamentals of signal and image processing - Advanced filtering and enhancement techniques - Feature extraction and classification - Hyperspectral and multispectral image analysis - Radar and SAR signal processing - Time-series analysis of remote sensing data - Machine learning applications in remote sensing - Data fusion and integration - High-performance computing for remote sensing - Quality assessment and validation - Real-world applications and case studies - Emerging trends and future directions