论文信息 - An iterative incidence angle normalization algorithm for sea ice SAR images

An iterative incidence angle normalization algorithm for sea ice SAR images

For automated interpretation of the sea ice SAR data, the change in backscatter level due to the incidence angle variation should be taken into account. We have studied the statistics of the Radarsat ScanSAR Narrow data for sea ice, and developed an iterative algorithm for normalizing the data for automated interpretation of it.

[1] Juha A. Karvonen,et al. Pulse-coupled neural network for sea ice SAR image segmentation and classification , 1999, Other Conferences.

[2] Gilles Celeux,et al. On Stochastic Versions of the EM Algorithm , 1995 .

[3] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.

[4] Martti Hallikainen,et al. Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic Sea ice , 2002, IEEE Trans. Geosci. Remote. Sens..

[5] N. Otsu. A threshold selection method from gray level histograms , 1979 .