The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In SAR and optical images, invariant feature extraction and matching is very difficult, linear feature extraction is relatively easy. This paper presents a linear feature based image registration method, which using the distance of line segment's endpoints to another line segment and the distance between the two line segments' centers defines a spatial coherence measure between two line segments,...
This paper proposes a two-stage registration method for SAR and optical images based on multi-features and multi-constraints. In the first stage, closed regions are extracted automatically to achieve the coarse mapping parameters as geometrical restriction. In the second stage, Harris corner points and cross-road features are extracted, and then correlation analysis and mutual information are utilized...
The registration of synthetic aperture radar (SAR) and optical images is the critical precondition for image fusion and image analysis, since SAR and optical imaging have complementary effects. However, the traditional algorithms do not often meet the actual demands when a large distortion, the combination of translation, a big rotation and a great scale change, exists between SAR and optical images...
An approach to oil spill detection is presented using optical satellite images. Features from SAR literature are studied. Different statistical and neural network-based classifiers are used in order to perform a supervised automatic classification and their performances are compared. The promising results achieved on the collected dataset encourage a further analysis of the potential of the optical...
We demonstrate that optical image processing based on a spontaneous optical pattern formation from an initial seed optical pattern in an optoelectronic feedback system with electronic distortion correction.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.