Jv. Soares et al., AN INVESTIGATION OF THE SELECTION OF TEXTURE FEATURES FOR CROP DISCRIMINATION USING SAR IMAGERY, Remote sensing of environment, 59(2), 1997, pp. 234-247
This article presents a methodology for selecting texture measures to
maximize the discrimination of agricultural land use classes in SAR im
ages. The images were acquired during the first flight of the Shuttle
Imaging Radar-C (SIR-C) experiment, in April 1994. L (24 cm)- and C (5
-cm)-band SAR data at HH (horizontal transmitting and receiving), HV (
horizontal transmitting, vertical receiving), and VV (vertical transmi
tting and receiving) polarizations both in ground range and slant rang
e and in two different passes were analyzed. The kappa statistic was u
sed to identify meaningful texture measures to discriminate seven clas
ses. The results show that the classifications of land use based only
on tonal averages produced a kappa coefficient only slightly higher th
an 0.50. A kappa threshold of 0.90 was reached with the simultaneous i
nclusion of 15 texture measures for the six images (two bands, three p
olarizations). It was also found that the inclusion of texture feature
s when only one band and one polarization was used could produce kappa
values higher than 0.85. (C)Elsevier Science Inc. 1997.