Jose Manuel Amigo – författare

Hyperspectral Imaging, Second Edition builds on the foundational insights of the first edition, covering core analytical frameworks and introducing new algorithms, hardware technologies, and cutting-edge applications. By incorporating the latest research findings and case studies, sections provide readers with enhanced tools and techniques for effective hyperspectral and multispectral image analysis across diverse scientific, industrial, and field domains. The book also addresses evolving challenges and fresh opportunities in the field, ensuring that users are equipped with the most current knowledge and practices. It underscores the continued relevance and transformative potential of hyperspectral and multispectral imaging in contemporary research and industry.Graduate students, academics, early researchers, and industry scientists across various disciplines working with hyperspectral and multispectral images, including analytical chemistry, remote sensing, vegetation and crops, food and feed production, forensic sciences, biochemistry, medical imaging, pharmaceutical production, art studies, cultural heritage, and more will find this update extremely useful.Provides a comprehensive roadmap of hyperspectral and multispectral image analysis, including benefits and considerations for each method discussedCovers state-of-the-art applications in different scientific fieldsDiscusses the implementation of hyperspectral devices in different environments