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 this paper, a local despeckling algorithm based on á trous version of edge-avoiding wavelets for synthetic aperture radar images is proposed. Edge-avoiding wavelets provide the decomposition of the input image into several detail layers and a residual image which corresponds to the despeckled result by means of weighted á trous wavelet transform. The weight function is similar to the range kernel...
Clutter, which is occurred by noise which has more intensive reflection than the buried objects such as noise of the transmitter and receiver antennas and the ground surface reflection interference, makes the identification of targets in Ground Penetrating Radar (GPR). Aim of this paper is to achieve a novel, more effective and faster clutter reduction method by using Lifting Wavelet Transform (LWT)...
In additive wavelet transform (AWT) based classical pansharpening methods, the details of the panchromatic (PAN) image added to the multispectral (MS) image directly or by weighting after the detail extraction. In this paper, the details will be weighted during the detail extraction process. The details of the PAN image will be obtained by a weighted additive wavelet transform (WAWT). In order to...
A new fusion method based on bilateral pyramid for multispectral and panchromatic images is presented. Bilateral pyramid is a multiscale decomposition method which can decompose an input image into a base layer representing the low frequency content and several detail layers representing the high frequency part of the image. The fused image is obtained by three different rules: substitutive, additive...
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.