Title :
Sea-ice velocity fields estimation on Ross Sea with NOAA-AVHRR
Author :
Flores, M.M. ; Parmiggiani, Flavio
Author_Institution :
ENST Telecom, Paris
fDate :
9/1/1995 12:00:00 AM
Abstract :
A complete methodology is proposed for automatic tracking of sea-ice in daylight AVHRR data. Two aspects are specially outlined: the use of partially cloudy monocular images and the estimation of ice pack trajectories along an image sequence. First, a classification technique is applied for the detection of snow-ice regions. Then, an optimal matching filter is used for the sea-ice motion estimation. The derived vector field is homogeneous and shows the ice pack motion along three days image data
Keywords :
geophysical signal processing; image sequences; motion estimation; oceanographic regions; oceanographic techniques; position measurement; remote sensing; sea ice; AVHRR; Antarctic Ocean; NOAA; Ross Sea; Southern Ocean; automatic tracking; daylight; daytime method; ice pack trajectory; image classification; image sequence; measurement technique; motion estimation; ocean; optical imaging; optimal matching filter; partially cloudy monocular image; satellite remote sensing; sea ice; sea surface; velocity; visible IR infrared; Clouds; Frequency; Image resolution; Image sequences; Layout; Motion estimation; Pixel; Radiometry; Sea ice; Tracking;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
