@article{751656, recid = {751656}, author = {Wang, Liguo, and Zhao, Chunhui,}, title = {Hyperspectral image processing [electronic resource] /}, pages = {1 online resource (xvii, 315 pages) :}, abstract = {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.}, url = {http://library.usi.edu/record/751656}, doi = {https://doi.org/10.1007/978-3-662-47456-3}, }