NDLI: Kernel spectral angle mapper

Content Provider	IET Digital Library
Author	Valls, G. Camps
Abstract	This communication introduces a very simple generalisation of the familiar spectral angle mapper (SAM) distance. SAM is perhaps the most widely used distance in chemometrics, hyperspectral imaging, and remote sensing applications. It is shown that a nonlinear version of SAM can be readily obtained by measuring the angle between pairs of vectors in a reproducing kernel Hilbert spaces. The kernel SAM generalises the angle measure to higher-order statistics, it is a valid reproducing kernel, it is universal, and it has consistent geometrical properties that permit deriving a metric easily. We illustrate its performance in a target detection problem using very high resolution imagery. Excellent results and insensitivity to parameter tuning over competing methods make it a valuable choice for many applications.
Starting Page	1218
Ending Page	1220
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 14, Jul (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.0661
Journal	Electronics Letters
Publisher Date	2016-06-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Angle Measurement Chemometrics Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Geometrical Property Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing High-resolution Imagery Higher Order Statistics Higher-order Statistics Hyperspectral Image Image Resolution Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Kernel Hilbert Space Kernel SAM Kernel Spectral Angle Mapper Object Detection Optical, Image And Video Signal Processing Parameter Tuning Probability Theory Remote Sensing Remote Sensing Application SAM Distance Generalisation SAM Nonlinear Version Spectral Angle Mapper SAM Distance Statistics Stochastic Linearised SCUC Target Detection Problem
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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