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Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition
book

Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition

by Morton J. Canty
June 2014
Intermediate to advanced
576 pages
16h 43m
English
CRC Press
Content preview from Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition
Documentation 463
classification result is written to E NVI memory only, but can be saved to disk
manually. The test statistics file can be processed with the procedure CT_RUN
or CT_RUN5 disc ussed in Section C.2.4.2 above.
C.2.4.5 Kernel RX anomaly detection (Section 7.5.5)
KRX_RUN (Spectral/Kernel RX (CUDA))
KRX_RUN5 (Toolbox/Extensions/Chapter7/Kernel RX (CUDA))
Choose (a spatial/spectral subset of) a multi- or hyperspectral image in
the first dialog. Then select the number of training samples fo r the kernel
matrix (sele ct 0 to deter mine them with the K-means algorithm). Next, enter
the NSCALE parameter for the Gauss ian ker ne l (the Gaussian kernel para meter
γ is calculated as in Equation (C.1)), and finally the output destination for
the anomaly ...
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Publisher Resources

ISBN: 9781466570375