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.
A targets detection algorithm is proposed for maritime surveillance by single-channel SAR images. It foresees a preliminary prescreening step, carried out using an adaptive threshold algorithm, followed by a discrimination phase, performed by sub-look analysis. The latter discriminates the pixels detected by the former step in three classes, i.e. targets, sea, and azimuth ambiguity. The algorithm...
Most nonlinear unmixing algorithms are based on the nonlinear mixing models with different forms. This paper focuses on the well-known generalized bilinear model (GBM). Though the GBM has shown interesting and promising for nonlinear unmixing, currently almost all the GBM-based unmixing algorithms are supervised. That is, the endmembers must be assumed known in advance. This paper develops an unsupervised...
Downward surface shortwave radiation (DSSR) is influenced by the atmosphere and mountainous topography. DEM scale is the key factor to affect the spatial distribution of DSSR in mode scale. In this paper, sensitivity of estimating DSSR to DEM scale is explored with six DEMs resolutions from 5-to 500-m based on our mountainous radiation algorithm published. According to the difference between the model...
Development of agriculture has shifted its emphasis from increasing of quantity to quality. Pesticides have been commonly used as plant protection products to increase gains of agricultural products for decades. Generally speaking, a pesticide is a chemical or biological agent to prevent damage influences from pests. Since application of pesticides has been so successful, nowadays most agricultural...
Accurate delineation of individual tree crowns in human settlement is of vital importance to decision-making in environmental management. Increasing availability of LiDAR data and applications of mathematical morphology imply a paradigm shift in tree crown delineation. This paper introduces a new approach based on “mathematical morphology on grey-level images” that enables such delineation. We consider...
Thermal Sharpening (TS) is usually referred to techniques widely used in several Earth Observation applications in order to increase the spatial resolution of thermal images. Profiting from the particular design of the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor mounted on board of the Suomi National Polar-orbiting Partnership (NPP) satellite, we propose here a new approach for obtaining...
In this paper, an unsupervised change detection model based on hybrid conditional random field model (HCRF) is proposed for high spatial resolution (HSR) remote sensing imagery. Traditional random field based algorithms are mainly based on the analysis of the difference image which ignores the spatial-temporal change information of ground objects which is important in dealing with HSR imagery. Thus...
In this paper, we propose a new fractional order variational method for pan-sharpening, which aims to obtain a high resolution multi-spectral (MS) image from a low resolution MS image and a high resolution panchromatic (PAN) image. On one hand, we use the data generative constraint for preserving the spectral information. More specifically, on the other hand, we exploit the fractional order gradient...
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.