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.
SAR image segmentation is the pre-process for SAR image application. This paper presents a new SAR image segmentation algorithm combining both the the bias field and Markov random field(MRF) characteristic with fuzzy clustering model(FCM) called BMFCM. The MRF characteristic of an image includes the spatial information of the image and the bias filed estimation is introduced to deal with the grey...
Rich information could be extracted from the high dimensional light field (LF) data, and one of the most fundamental output is scene depth. State-of-the-art depth calculation methods produce noisy calculations especially over texture-less regions. Based on Super-pixel segmentation, we propose to incorporate multi-level disparity information into a Bayesian Particle Filtering framework. Each pixels'...
The spaceborne P-band synthetic aperture radar (SAR) is affected by ionospheric scintillation, which seriously impacts the imaging quality and measurements of biomass. Considering polarization modes and topographic features, a hybrid scheme for compensating ionospheric scintillation effect is proposed based on Phase Gradient Autofocus (PGA) and Faraday rotation (FR) estimation based method. Simulating...
This paper presents an improved relaxation algorithm for image matching. The original relaxation algorithm includes two steps: rough matching and accurate matching. It usually is time-consuming for most practical problems. With the improved relaxation algorithm proposed in this paper, the number of matching points that take part in the next pass iteration can be reduced, consequently, the algorithm...
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.