Journal article
Incidence Angle Correction of AirSAR Data to Facilitate Land-Cover Classification
Photogrammetric Engineering and Remote Sensing, Vol.67(4), pp.479-489
2001
Abstract
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
- Title
- Incidence Angle Correction of AirSAR Data to Facilitate Land-Cover Classification
- Authors
- C H Menges (Author) - Charles Darwin UniversityGreg J E Hill (Author) - University of the Sunshine CoastW Ahmad (Author) - Charles Darwin UniversityJ J Van Zyl (Author) - California Institute of Technology
- Publication details
- Photogrammetric Engineering and Remote Sensing, Vol.67(4), pp.479-489
- Publisher
- American Society for Photogrammetry and Remote Sensing
- ISSN
- 0099-1112
- Organisation Unit
- Office of the Vice-Chancellor and President; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99450199302621
- Output Type
- Journal article
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