Title :
Independent component analysis for sea ice SAR image classification
Author :
Karvonen, Juha ; Similä, Markku
Author_Institution :
Finnish Inst. of Marine Res., Finland
Abstract :
Independent component analysis (ICA) is used to compute sets of basis vectors for image data, i.e. for small randomly selected image windows. From these basis vectors a smaller set is selected to be used in classifying sea ice SAR images. A SAR image window is classified based on its projection to the selected basis vectors
Keywords :
geophysical signal processing; image classification; oceanographic techniques; radar imaging; sea ice; ICA; basis vectors; image data; independent component analysis; sea ice SAR image classification; small randomly selected image windows; Covariance matrix; Data analysis; Filtering; Image classification; Independent component analysis; Mutual information; Principal component analysis; Sea ice; Sea measurements; Shape;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976810
