Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.
Format:
CONTRIBUTORS: Liguo Wang
EAN: 9783662516140
COUNTRY: Germany
PAGES:
WEIGHT: 5706 g
HEIGHT: 235 cm
PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
DATE PUBLISHED: 2016-10-18
CITY:
GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems
WIDTH: 155 cm
SPINE:
Book Themes:
Geographical information systems, geodata and remote sensing, Electronics engineering, Computer vision, Digital signal processing (DSP)
