June 2014
Intermediate to advanced
576 pages
16h 43m
English
book
Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition
by Morton J. Canty
Content preview from Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition
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152 Filters, Kernels and Fields
variance into the first three principal components. Chapter 9 will illustrate
the use of kernel PCA for change detection with (simulated) nonlinear data.
4.5 Gibbs–Markov random fields
Random fields are freq ue ntly invoked to describe prior expectations in a B ayes-
ian approach to image analysis (Winkler, 1995; Li, 2001 ). The following brief
introduction will serve to make their use more plausible in the unsupervised
land cover classification context that we will meet in Chapter 8. The devel-
opment adheres close ly to Li (2001), but in a notation specific to that used
later in the treatment of image classification.
Image ...
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