摘要
Different ocean features usually appear in synthetic aperture radar (SAR) images simultaneously. This makes the image complicated and hard to understand. Because of lower signal-to-noise rate , it is much more difficult to separate different ocean features than to separate different land features. A completely novel method is presented to separate ocean features from multifrequency polarimetric SAR imagery. AIRSAR data from Jet Propulsion Laboratory (JPL), National Aeronautics and Space Administration (NASA) are used in the case studies and good results are achieved.
Different ocean features usually appear in synthetic aperture radar (SAR) images simultaneously. This makes the image complicated and hard to understand. Because of lower signal-to-noise rate , it is much more difficult to separate different ocean features than to separate different land features. A completely novel method is presented to separate ocean features from multifrequency polarimetric SAR imagery. AIRSAR data from Jet Propulsion Laboratory (JPL), National Aeronautics and Space Administration (NASA) are used in the case studies and good results are achieved.
基金
National Natural Science Foundation of China under contract Nos 40206023 and 40776099.
