Se. Franklin et al., AUTOMATED DERIVATION OF GEOGRAPHIC WINDOW SIZES FOR USE IN REMOTE-SENSING DIGITAL IMAGE TEXTURE ANALYSIS, Computers & geosciences, 22(6), 1996, pp. 665-673
In digital image processing of remotely sensed data, texture analysis,
filtering, and edge detection techniques, among others, may be improv
ed through the use of variable window sizes which extend the analysis
beyond the immediate pixel to a larger geographic area. In this paper,
semivariograms are used to generate geographic windows, which are cus
tomized to the scale of observation. Three examples are used to illust
rate the improvements over the use of arbitrarily selected fixed geome
tric windows in remote estimation of forest inventory, forest structur
e characteristics, and in land-cover classification. A program to hand
le the semivariance calculations is described. The code was written in
the C programming language under AIX-Unix on an IBM RISC 6000 24-bit
color workstation to support a common pixel-interleaved digital image
format, and has been tested on optical and radar remote sensing imager
y in three mapping studies. Copyright (C) 1996 Elsevier Science Ltd