Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200117276 ISBN 13: 9786200117274
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 120 pages. 8.66x5.91x0.28 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200117276 ISBN 13: 9786200117274
Da: preigu, Osnabrück, Germania
EUR 47,85
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Automatic Image Mosaic Algorithm for Digital Planetary images | Challenge and Processing | Mohammed Ismail (u. a.) | Taschenbuch | 120 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200117274 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200117276 ISBN 13: 9786200117274
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image mosaic relies on image matching and registration. The good image mosaic depends on good acquiring the best match features between images or Sift-points. Images of solar planets suffer from lack of information with low contrast that may influence on good matching as compared to Earth images. A new algorithm is present in this book for planetary image mosaic which alleviates this challenge. First, a program is build to compensate for some of the geometric distortion (rotation and scale effects). Second, an algorithm is submitting for detecting a match Sift-points between images that depends on the morphological operation. A registration with warpping and blending operations is compute to complete the image mosaic. This procedure is test and execute on images of Earth (Landsat 8 oli images). 120 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200117276 ISBN 13: 9786200117274
Da: moluna, Greven, Germania
EUR 45,45
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ismail MohammedMohammed Ismail Abdalmajied: Born in 1981, Its B.Sc. in 2004, M.Sc. in 2007 and PhD in 2019 Degree in Astronomy and Space took from University of Baghdad / College of Science (Iraq). He is a Lecture in University of Ba.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200117276 ISBN 13: 9786200117274
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 54,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image mosaic relies on image matching and registration. The good image mosaic depends on good acquiring the best match features between images or Sift-points. Images of solar planets suffer from lack of information with low contrast that may influence on good matching as compared to Earth images. A new algorithm is present in this book for planetary image mosaic which alleviates this challenge. First, a program is build to compensate for some of the geometric distortion (rotation and scale effects). Second, an algorithm is submitting for detecting a match Sift-points between images that depends on the morphological operation. A registration with warpping and blending operations is compute to complete the image mosaic. This procedure is test and execute on images of Earth (Landsat 8 oli images).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200117276 ISBN 13: 9786200117274
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 55,56
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image mosaic relies on image matching and registration. The good image mosaic depends on good acquiring the best match features between images or Sift-points. Images of solar planets suffer from lack of information with low contrast that may influence on good matching as compared to Earth images. A new algorithm is present in this book for planetary image mosaic which alleviates this challenge. First, a program is build to compensate for some of the geometric distortion (rotation and scale effects). Second, an algorithm is submitting for detecting a match Sift-points between images that depends on the morphological operation. A registration with warpping and blending operations is compute to complete the image mosaic. This procedure is test and execute on images of Earth (Landsat 8 oli images).