9783847311379 - image segmentation techniques: methods for segmenting high spatial resolution images di chakraborty, debasish; sen, goutam kumar; hazra, sugata (5 risultati)
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Taschenbuch. Condizione: Neu. Image segmentation Techniques | Methods for Segmenting High Spatial Resolution Images | Debasish Chakraborty (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783847311379 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LET…TLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chakraborty DebasishDr. Debasish Chakraborty, PhD, Jadavpur University, Kolkata, is a Scientist at RRSC-East,NRSC,ISRO,Kolkata,India. His research interests include Digital Image Processing,Remote Sens…ing & GIS. Dr. G.K Sen is a Prof.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image Segmentation is a technique to group an image into units or categories that are homogeneous with respect to one or more characteristics. This book highlights the various segmentation techniques that brings together the current dev…elopment on segmentation and explores the potentiality of those techniques in segmenting High Spatial Resolution Remote Sensing (RS) Satellite Images. It also provides an insight about the existing mathematical methods and its application to image segmentation. Special emphasis has been given on Hölder exponent (HE). HE is a well-established technique for texture analysis. But it is computationally complex and time consuming. This book proposes a HE based method for segmenting high spatial resolution images. The method adequately segments complex images containing textured regions as well as non-textured regions. The audience for this book includes practitioners in the pattern recognition and image analysis communities, practitioners in the Remote sensing communities, and the broader audience of scientific professionals.
