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.
The 3-D image of Linear array synthetic aperture radar (LASAR) usually exhibit high sparseness, so sparse imaging algorithms based on compressed sensing (CS) theory can be used for LASAR 3-D imaging. However, the conventional CS-based imaging scheme suffers from huge computational time, especially for large scene imaging, which requires a huge sensing matrix to reconstruct the whole scene. In this...
Compressed sensing (CS) has been receiving great interests as it can reconstruct sparse signals exactly from a very small number of samples with high probability. In this paper, we demonstrate that “one-active” linear array SAR imaging can be formulated as sparse reconstruction problem and analyses the question of scattering center estimation in “one-active” linear array SAR via CS technique. According...
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.