Title :
High-accuracy terrain modelling for soil mapping using ALOS-PRISM imagery
Author :
McNeill, Stephen ; Belliss, Stella ; Pairman, David
Author_Institution :
Landcare Res. New Zealand, Lincoln, New Zealand
Abstract :
A digital elevation model (DEM) has been generated from ALOS-PRISM triplet stereo imagery of the Manawatu and Wanganui regions, New Zealand, for use in high-country soil mapping. The PRISM imagery suffers from block and high-frequency JPEG compression artifacts, as well as column and inter-CCD striping. Although some of these artifacts have been suppressed in the PRISM processing chain from October 2007, the residual effect of these sensor problems is to generate poor outlier estimates of stereo disparity; this increases the manual post-processing effort needed. Column striping was suppressed by equalizing between column mean differences; anomalous column striping was subsequently suppressed by equalizing between the column mean and the median column mean; JPEG high-frequency artifacts were ameliorated by using a repeated-reconstruction approach separately for even and odd columns, using estimates of the JPEG compression table. Using geodetic control points for validation, the model standard deviation is estimated to be, at best, 2.9m.
Keywords :
digital elevation models; geodesy; geophysical image processing; image coding; soil; stereo image processing; terrain mapping; ALOS-PRISM triplet stereo imagery; JPEG compression table; Manawatu region; New Zealand; PRISM imagery; PRISM processing chain; Wanganui region; anomalous column striping; column mean differences; digital elevation model; geodetic control points; high-accuracy terrain modelling; high-country soil mapping; high-frequency JPEG compression artifacts; interCCD striping; median column mean; model standard deviation; repeated-reconstruction approach; Charge coupled devices; Image coding; Mathematical model; Software; Soil; Systematics; Transform coding; ALOS PRISM; JPEG artifacts; soil mapping; stereo;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049728