1,721,046 research outputs found

    Comparazione tra alcuni metodi di Pan-sharpening applicati ad immagini GeoEye-1

    No full text
    A bordo del satellite GeoEye-1 sono presenti sensori operativi nel pancromatico e nel multispettrale: la risoluzione geometrica delle immagini acquisite risulta essere più elevata nel primo caso (50 cm) piuttosto che nel secondo (2 m). I metodi di Pan-sharpening consentono di migliorare le dimensioni originali dei pixel delle immagini multispettrali riportandole a quelle delle immagini pancromatiche. In tal modo diviene possibile ottenere dati di elevato dettaglio, sia geometrico che spettrale, anche da satellite, raggiungendo performance sinora garantite solo da foto da aereo. In questo lavoro si confrontano i risultati ottenuti, per una scena GeoEye-1 relativa ad un’area della Provincia di Caserta, dalle applicazioni di 6 differenti metodi di pansharpening individuati tra i più ricorrenti o comunque efficaci presenti nei software di elaborazione delle immagini telerilevate. In particolare si considerano: metodo IHS (Intensity- Hue-Saturation), trasformazione di Brovey, metodo moltiplicativo, metodo della media semplice, metodo della Sostituzione delle Componenti Principali, metodo di Zhang. I risultati vengono analizzati e comparati mediante l’utilizzo di due indici di qualità: coefficiente di correlazione e ERGAS

    TOA reflectance and NDVI calculation for Landsat 7 ETM+ images of Sicily

    No full text
    NDVI (Normalized Difference Vegetation Index) is useful measure of live green vegetation obtained with remotely sensed data. For its calculation two images concerning reflectance of the scene in red and infrared bands are necessary. Results can be classified to obtain land cover map distinguishing three classes: waters (oceans, seas, lakes, rivers, ...), soils (rocks, buildings, roads, ...) vegetation (forests, grasses, orchards, ...). Landsat 7 ETM+ images (band 3 and band 4) can be used for NDVI calculation, but if data have been formatted to fit in 8-bit numbers (ranges from 0-255), transformation is necessary to obtain reflectance values. One of the solution is to consider “top of atmosphere” (TOA) measurements: solar radiation incident on the satellite sensor is derived by digital numbers. The aim of this paper is to demonstrate the advantages of this transformation, even if it doesn’t supply the effective reflectance at soil: Landsat ETM+ red and near-infrared images of Sicily were considered and NDVI was calculated in two different ways, with and without TOA transformation of original data. Results were compared to remarks better performance of the first approach

    BATHYMETRY FROM WORLDVIEW-3 SATELLITE DATA USING RADIOMETRIC BAND RATIO

    Full text link
    The use of optical satellite sensors allows to obtain bathymetry data on large area ina short time and in a cheap way. In addition, in particular places where it is difficult to carry out the survey by classic methods, the bathymetry from satellite data can be the only mode to obtain the depth of the backdrop. So, the aim of this research paper is to analyse the potential of the eight bands and the very high resolution of the commercial satellite WorldView-3 (WV-3) in order to obtain bathymetric data. Using WV-3 satellite data and the Stumpf method, the paper intends to investigate the possibility of obtaining bathymetric data in a specific area where the water is not particularly clear. To achieve this goal, in Geographic Information System (GIS) environment, several algorithms have been developed. The comparison between the results and the reference bathymetric data shows a huge potential of the WV-3 satellite data. The area of study concerns the port area of the city of Lisbon and a part of the river Rio Tejo, in Portugal

    A New Index to Perform Shadow Detection in GeoEye-1 Images

    No full text
    With the introduction of new satellites for earth monitoring characterized by very high resolution (VHR) sensors, new algorithms to recognize shadow in the supplied images are necessary. Automatic shadow detection can enhance the interpretability of the images in several applications such as classification and change detection. Several approaches are present in literature for shadow detection and their adaptation and particularization for VHR satellite images are still in evolution. The goal of this paper is to propose a new index for shadow detection based on multispectral files processing. GeoEye-1 satellite data are used for this study: IHS pan-sharpening method is applied to transfer pixel dimensions of the panchromatic image (spatial resolution: 0.5 m x 0.5 m) into the multispectral images (2 m x 2 m); an index named ERGAS is used to test the quality of the resulting raster files. Dealing with the problem of the shadow detection, a new index is defined to identify the affected pixels both in the original as well as pan-sharpened images. The results are compared with them by another index named ratio that is generally applied for shadow detection in multispectral images: issues and advantages, derived by using the proposed technique, are discussed

    Increasing Geometric Resolution of Data Supplied by Quickbird Multispectral Sensors

    No full text
    On board of Quickbird satellite two types of sensors are present: panchromatic and multispectral. The first acquires earth images within spectral range 0.405 μm – 1.053 μm; the second acquires simultaneously four images of the same scene, each of them within shorter range of spectrum (Blue, Green, Red, Near-Infrared). Panchromatic images present geometric resolution 0.60 m while multispectral ones 2.40 m. For many applications, detailed data are welcome, so in the last decades several methods have been elaborated in Remote Sensing to transfer pixel dimensions of pan images into multispectral images. Included in data fusion techniques, they are named pan-sharpening methods and one of the principal problems they are called to resolve is to define weights to attribute to each multispectral component in fusion operations. The aim of this paper is to consider the application to Quickbird imagery of two efficient pan-sharpening methods, IHS and Brovey transformation, demonstrating that multispectral weights can be easily derived by analysis of sensors relative spectral radiance response
    corecore