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.
Accurate tree-cover estimates are useful in deriving above-ground biomass density estimates from very high resolution (VHR) satellite imagery data. Numerous algorithms have been designed to perform tree-cover delineation in high-to-coarse-resolution satellite imagery, but most of them do not scale to terabytes of data, typical in these VHR data sets. In this paper, we present an automated probabilistic...
In allusion to the sensitivity towards the noise of the traditional fuzzy entropy method, an improved image segmentation method based on fuzzy entropy and grey relational analysis is proposed in the paper. In this modification, the grey relational degree is introduced to express the degree of the pixels belonging to the object or background accurately, we select the current pixel and its neighborhood...
For an airborne lookdown pulsed Doppler (PD) radar, clutter power often changes dynamically about 80 dB with wide clutter distribution in range and Doppler as the platform moves. Therefore, the clutter tracking techniques are required to guide the selection of const false alarm rate (CFAR) schemes. The aim of this work is exploring the possibility of tracking clutters using image segmentation algorithms...
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.