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      1. Naturvetenskap och teknik
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      4. Tillämpad fysik

      Remote Sensing Image Fusion

      AvLuciano Alparone,Bruno Aiazzi

      E-bok
      Engelska, 2015

      Del i serien Signal and Image Processing of Earth Observations

      989 kr

      Läs direkt i Bokus Reader – eller ladda ned till din enhet

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      Häftad

      842 kr

      Inbunden

      2 514 kr

      E-bok

      1 022 kr

      Beskrivning

      A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and

      Produktinformation

      • Utgivningsdatum:2015-03-06
      • Språk:Engelska
      • Filformat:EPUB
      • Kopieringsskydd:LCP
      • ISBN:9781040072875
      • Förlag:Taylor & Francis Ltd
      • Serie:Signal and Image Processing of Earth Observations

      Utforska kategorier

      • Tillämpad fysik inom Naturvetenskap och teknik
      • Geografi inom Naturvetenskap och teknik
      • Miljöteknik inom Naturvetenskap och teknik

      Mer om författaren

      Luciano Alparone received the Laurea degree (with honors) in electronic engineering from the University of Florence, Florence, Italy, in 1985 and the Ph.D. degree from the Italian Ministry of Education in 1990. During the spring of 2000 and summer of 2001, he was a Visiting Researcher at the Tampere International Centre for Signal Processing, Tampere, Finland. Since 2002, he has been an Associate Professor with the Images and Communications Laboratory, Department of Electronics and Telecommunications, University of Florence, where he currently holds the courses of Telecommunication Systems and Remote Sensing for Environmental Monitoring. He participated in several research projects funded by the Italian Ministry of University (MIUR), the Italian Space Agency (ASI), the French Space Agency (CNES), and the European Space Agency (ESA). Recently, he has been the Principal Investigator of a project funded by ASI on the processing of Cosmo-SkyMed SAR data. His research interests are data compression for remote sensing applications, multiresolution image analysis and processing, multisensor data fusion, analysis, and processing of SAR images. He has authored or coauthored over 60 papers in peer-reviewed journals and a total of 300 publications. Dr. Alparone was a corecipient of the 2004 Geoscience and Remote Sensing Letters Prize Paper Award for the study on "A global quality measurement of pansharpened multispectral imagery." Bruno Aiazzi received the Laurea degree in electronic engineering from the University of Florence, Florence, Italy, in 1991. Since 2001, he has been a Researcher with the Institute of Applied Physics "Nello Carrara" (IFAC-CNR), which is located in the CNR Area di Ricerca di Firenze, Florence. He is currently Senior Researcher in the IFAC-CNR Institute. He has been working in several international research projects funded by the main European space agencies (ASI, ESA, CNES) on remote sensing topics: image

      Recensioner i media

      "… a very impressive piece of work. … should become the bedside book for anyone interested in image fusion for remote sensing, from the graduate student, the PhD candidate or the researcher to the engineer or the enduser addressing any application based on remote sensing data and in need for an improved resolution."—Jocelyn Chanussot, Grenoble Institute of Technology"… the first comprehensive book to be published on this important topic. The authors are leaders in the field and have been on top of this important subject for the last two decades. The book is highly recommended."—Prof. Jón Atli Benediktsson, Faculty of Electrical and Computer Engineering, University of Iceland, IEEE Fellow, SPIE Fellow, 2011-2012 President IEEE Geoscience and Remote Sensing Society, 2003-2008 Editor-in-Chief, IEEE Trans. on Geoscience and Remote Sensing

      Innehållsförteckning

      • Introduction. Sensors and Image Data Products. Quality Assessment. Image Resembling and Registration. Pan-Sharpening of Multi-Spectral Image Data. Pan-Sharpening of hyper-Spectral Image Data. Aliasing and Misregistration Effects in Pan-Sharpening. Integration of Images from Heterogeneous Sensors. New Trends.
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