Ice roughness classification and ERS SAR imagery of Arctic sea ice: evaluation of feature-extraction algorithms by genetic programming

Author

Daida, Jason M. ; Onstott, Robert G. ; Bersano-Begey, Tommaso F. ; Ross, Steven J. ; Vesecky, John E.

Author_Institution

Dept. of Atmos., Oceanic, & Space Sci., Michigan Univ., Ann Arbor, MI, USA

Volume

3

fYear

1996

fDate

27-31 May 1996

Firstpage

1520

Abstract

This paper describes a validation of accuracy associated with a recent algorithm that has been designed to extract ridge and rubble features from multiyear ice. Results show that the algorithm performs well with low-resolution ERS SAR data products

Keywords

feature extraction; genetic algorithms; geophysical signal processing; geophysics computing; image classification; oceanographic techniques; radar imaging; remote sensing by radar; sea ice; spaceborne radar; synthetic aperture radar; Arctic Ocean; ERS; SAR imagery; accuracy; feature extraction algorithm; genetic algorithm; genetic programming; image processing; measurement technique; multiyear ice; ocean; radar imaging; radar remote sensing; ridge and rubble; roughness classification; sea ice; spaceborne radar; synthetic aperture radar; validation; Algorithm design and analysis; Arctic; Backscatter; Data mining; Genetic programming; Geoscience; Sea ice; Shape; Software algorithms; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516717

Filename

516717