Editorial Board for section 'Color, Multi-spectral, and Hyperspectral Imaging'
- Image and Video Processing Section
- Computer Vision and Pattern Recognition Section
- Color, Multi-spectral, and Hyperspectral Imaging Section
- Medical Imaging Section
- Biometrics, Forensics, and Security Section
- Computational Imaging and Computational Photography Section
- Document Analysis and Processing Section
- Neuroimaging and Neuroinformatics Section
- Visualization and Computer Graphics Section
- Multimedia Systems and Applications Section
- Mixed, Augmented and Virtual Reality Section
- AI in Imaging Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
Interests: hyperspectral image analysis; spectral unmixing; hyperspectral anomaly detection; spectral-spatial classification; deep hyperspectral learning; GPU and FPGA acceleration; parallel remote-sensing computing; remote-sensing super-resolution
Special Issues, Collections and Topics in MDPI journals
Interests: mathematical color perception; geometry of color spaces; quantum color perception; color appearance modeling; color constancy; variational Retinex methods; information-theoretic vision
Special Issues, Collections and Topics in MDPI journals
Interests: material appearance perception; computational color imaging; skin-color analysis; image-based physiological sensing; spectral reflectance estimation; computer graphics and rendering; visual psychophysics
Interests: color science and colorimetry; color imaging; color appearance and perception; visual psychophysics; machine learning for color; color design; lighting and spatial color; cross-cultural color response
Special Issues, Collections and Topics in MDPI journals
Interests: synthetic aperture radar imaging; polarimetric SAR analysis; SAR target and ship detection; multi-temporal SAR change analysis; scattering-model segmentation; airborne SAR calibration; deep learning for remote sensing; microwave remote sensing




