TY  - CHAP
AU  - Carlos Villaseñor
AU  - Javier Gomez-Avila
AU  - Nancy Arana-Daniel
AU  - Alma Y. Alanis
AU  - Carlos Lopez-Franco
ED  - Jie Chen
ED  - Yingying Song
ED  - Hengchao Li
Y1  - 2019-09-05
PY  - 2019
T1  - Fast Chaotic Encryption for Hyperspectral Images
N2  - Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.
BT  - Processing and Analysis of Hyperspectral Data
SP  - Ch. 4
UR  - https://doi.org/10.5772/intechopen.88980
DO  - 10.5772/intechopen.88980
SN  - 978-1-78985-110-6
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -