Abstract
Feature extraction from imagery is an important and
long-standing problem in remote sensing. In this paper,
we report on work using genetic programming to perform
feature extraction simultaneously from multispectral
and digital elevation model (DEM) data. We use the
GENetic Imagery Exploitation (GENIE) software for this
purpose, which produces image-processing software that
inherently combines spatial and spectral processing.
GENIE is particularly useful in exploratory studies of
imagery, such as one often does in combining data from
multiple sources. The user trains the software by
painting the feature of interest with a simple
graphical user interface. GENIE then uses genetic
programming techniques to produce an image-processing
pipeline. Here, we demonstrate evolution of image
processing algorithms that extract a range of land
cover features including towns, wildfire burnscars, and
forest. We use imagery from the DOE/NNSA Multispectral
Thermal Imager (MTI) spacecraft, fused with USGS
1:24000 scale DEM data.
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