SARTI (Technological Development Centre of Remote Acquisition and Data processing Systems)
Abstract
This paper presents a contour-based approach for automatic image
registration in satellite oceanography. Accurate image georegistration
is an essential step to increase the eff ectiveness of all the image
processing methods that aggregate information from diff erent
sources, i.e. applying data fusion techniques. In our approach the images
description is based on main contours extracted from coast-line.
Each contour is codifi ed by a modifi ed chain-code, and the result is
a discrete value sequence. The classical registration techniques were
area-based, and the registration was done in a 2D domain (spatial
and/or transformed); this approach is feature-based, and the registration
is done in a 1D domain (discrete sequences). This new technique
improves the registration results. It allows the registration of multimodal
images, and the registration when there are occlusions and
gaps in the images (i.e. due to clouds), or the registration on images
with moderate perspective changes. Finally, it has to be pointed out
that the proposed contour-matching technique assumes that a reference
image, containing the coastlines of the input image geographical
area, is available