Kuplich, T.M. and Curran, P.J.
Estimating texture independently of tone in simulated images of forest canopies.
Papers in proceedings of XI Simpósio Brasileiro de Sensoriamento Remoto.
XI Simpósio Brasileiro de Sensoriamento Remoto (SBSR)
Sao Paulo, Brasil,
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Tone and texture are two fundamental characteristics of remotely sensed images. Current research on
the remote sensing of tropical forest biomass uses the tone (i.e., backscatter) of Synthetic Aperture Radar (SAR)
images as this is related directly to biomass (albeit up to the backscatter/biomass asymptote). As a tropical forest
canopy ages so its unevenness increases, progressing from smooth to rough. Therefore a measure of SAR texture
that is independent of SAR tone has the potential of increasing the biomass maxima that can be estimated with
SAR data. This experiment used simulated SAR images designed to reproduce forest canopies and different
patterns of tone (or contrast) and texture (or clumpiness). Twenty six texture measures (derived from local
statistics, the grey-level co-occurrence matrix (GLCM) and variograms) were calculated for these simulated
images. Measures sensitive to texture (clumpiness) and/or tone (contrast) were identified using Analysis of
Variance (ANOVA). Seven texture measures were recommended for the estimation of tropical forest biomass
with SAR images.
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