Logo image
Back
Incidence Angle Correction of AirSAR Data to Facilitate Land-Cover Classification
Journal article   Peer reviewed

Incidence Angle Correction of AirSAR Data to Facilitate Land-Cover Classification

C H Menges, Greg J E Hill, W Ahmad and J J Van Zyl
Photogrammetric Engineering and Remote Sensing, Vol.67(4), pp.479-489
2001
url
http://www.asprs.org/View
Webpage

Abstract

Geomatic Engineering radar imaging Synthetic Aperture Radar
Three image-based methods for correcting the effect of changes in incidence angle on backscatter data are proposed and evaluated for AirSAR data of a coastal tropical savanna landscape in Australia's Northern Territory. These correction methods require little field knowledge and do not assume a linear relationship between SAR backscatter and incidence angle. The correction methods are applied to five independent components of the Stokes Matrix. The results are evaluated using an existing land-cover classification to extract mean backscatter values for individual land-cover classes before and after the correction procedures. It is shown, for the vegetation communities involved, that the slope method provides a successful correction for the amplitude components of the backscatter data. The real and imaginary parts of the co-polarized returns are best corrected using the LUT method. The proposed correction procedure allowed the use of a maximum-likelihood classification for the discrimination of ten land-cover types with an overall accuracy of 87 percent across the complete swath width of the AirSAR data.

Details

Metrics

5 File views/ downloads
663 Record Views
Logo image