%0 Book Section
%A Jayasinghe, D.
%A Fournier, R.A.
%A Miller, J.
%T Texture analysis in matching 3D tree models to remotely sensed data
%B Digest - International Geoscience and Remote Sensing Symposium (IGARSS)
%D 1989
%V 1
%P 165--
%X Summary form only given. A geometrical-optical model has been developed
to represent the radiative properties of a known forest canopy for
a given illumination and viewing geometry, in terms of the physical
canopy parameters. A comparison of the radiances of the model and
the original viewing geometry (at similar illumination conditions),
with respect to their gray level frequency distribution and patterns,
was carried out. Also performed was a comparison of the texture measures
such as entropy, inertia, correlation, contrast, sum of squares,
inverse difference moment, sum variance, difference variance, difference
entropy, and maximal correlation coefficient calculated with the
spatial gray-level dependence method for the original trees. Statistical
tests such as the student t-test and correlation coefficient analysis
have been conducted with the texture measures obtained for the model
and the original to show how closely they resemble each other.
%2 Export Date: 10 February 2010
Source: Scopus
CODEN: IGRSE
%K Forestry, Image Processing--Image Analysis, Statistical Methods, 3D
Tree Models, Abstract Only, Difference Entropy, Forest Canopy, Gray-Level
Dependence, Texture Analysis, Remote Sensing
%# Luc
%Z timestamp=(2010.02.10)
%U http://www.scopus.com/inward/record.url?eid=2-s2.0-0024831533&partnerID=40&md5=5156f38224445a9019dd4adc90e0c845
%F JayasingheFournierMiller1989
%3 BibTeX type = INPROCEEDINGS