Wang, Liguo. <br/><br/>
Hyperspectral Image Processing  [electronic resource] / 
by Liguo Wang, Chunhui Zhao. 
 - 1st ed. 2016. 
 - XVII, 315 p. 121 illus., 15 illus. in color.  online resource. 
<br/><br/>Basic theory and main processing techniques of hyperspectral remote sensing -- Classification technique for HSI -- Endmember extraction technique of HSI -- Spectral unmixing technique of HSI -- Sub-pixel mapping technique of HSI -- Super-resolution technique of HSI -- Anomaly detection technique of HSI -- Dimensionality reduction and compression technique of HSI -- Introduction to hyperspectral remote sensing applications. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783662474563 
<br/><br/><label>Standard No.: </label>10.1007/978-3-662-47456-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Signal processing.<br/>Computer vision.<br/>Geographic information systems.<br/>Signal, Speech and Image Processing .<br/>Computer Vision.<br/>Geographical Information System.
<br/><br/><label>LC Class. No.: </label>TK5102.9 
<br/><br/><label>Dewey Class. No.: </label>621.382