Gilani, Syed Zulqarnain Ahmad: Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm - Segmentation of Glaciers using Digital Elevation Model and Fast Block Clustering Based Adaptive Medoid Shift Algorithm - Taschenbuch
[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high re… Mehr…
[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed 2) A novel reverse parallel tree traversing approach for mode seeking is presented 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, 136, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung, Internationaler Versand<
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Syed Zulqarnain Ahmad Gilani: Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm : Segmentation of Glaciers using Digital Elevation Model and Fast Block Clustering Based Adaptive Medoid Shift Algorithm - Taschenbuch
[EAN: 9783844386264], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - An optimal approach to unsupervised colour image clustering is presented in th… Mehr…
[EAN: 9783844386264], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed; 2) A novel reverse parallel tree traversing approach for mode seeking is presented; 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier. 136 pp. Englisch, Books<
[ED: Taschenbuch], [PU: LAP Lambert Academic Publishing], Neuware - An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high reso… Mehr…
[ED: Taschenbuch], [PU: LAP Lambert Academic Publishing], Neuware - An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed 2) A novel reverse parallel tree traversing approach for mode seeking is presented 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 220xx mm, 136, PayPal, Offene Rechnung, Banküberweisung, Sofortüberweisung, Internationaler Versand<
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An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown th… Mehr…
An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed, 2) A novel reverse parallel tree traversing approach for mode seeking is presented, 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV<
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An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown th… Mehr…
An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed, 2) A novel reverse parallel tree traversing approach for mode seeking is presented, 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT<
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Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm - Segmentation of Glaciers using Digital Elevation Model and Fast Block Clustering Based Adaptive Medoid Shift Algorithm - Taschenbuch
[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high re… Mehr…
[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed 2) A novel reverse parallel tree traversing approach for mode seeking is presented 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, 136, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung, Internationaler Versand<
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Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm : Segmentation of Glaciers using Digital Elevation Model and Fast Block Clustering Based Adaptive Medoid Shift Algorithm - Taschenbuch
[EAN: 9783844386264], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - An optimal approach to unsupervised colour image clustering is presented in th… Mehr…
[EAN: 9783844386264], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed; 2) A novel reverse parallel tree traversing approach for mode seeking is presented; 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier. 136 pp. Englisch, Books<
[ED: Taschenbuch], [PU: LAP Lambert Academic Publishing], Neuware - An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high reso… Mehr…
[ED: Taschenbuch], [PU: LAP Lambert Academic Publishing], Neuware - An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed 2) A novel reverse parallel tree traversing approach for mode seeking is presented 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 220xx mm, 136, PayPal, Offene Rechnung, Banküberweisung, Sofortüberweisung, Internationaler Versand<
Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Rheinberg-Buch
An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown th… Mehr…
An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed, 2) A novel reverse parallel tree traversing approach for mode seeking is presented, 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV<
Nr. Versandkosten:, Lieferzeit: 11 Tage, DE. (EUR 0.00)
An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown th… Mehr…
An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed, 2) A novel reverse parallel tree traversing approach for mode seeking is presented, 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of Hindukush and KaraKoram mountain ranges of Asia. The method along with other proposed techniques successfully delineates the glaciers into class Clean Glacier and class Debris Covered Glacier. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT<
Nr. Versandkosten:, Lieferzeit: 11 Tage, DE. (EUR 0.00)
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Detailangaben zum Buch - Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm
EAN (ISBN-13): 9783844386264 ISBN (ISBN-10): 3844386262 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2011 Herausgeber: LAP Lambert Academic Publishing
Buch in der Datenbank seit 2009-06-28T15:12:20+02:00 (Berlin) Detailseite zuletzt geändert am 2021-03-22T11:38:39+01:00 (Berlin) ISBN/EAN: 3844386262
ISBN - alternative Schreibweisen: 3-8443-8626-2, 978-3-8443-8626-4 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: gilani Titel des Buches: shift happens, digital, block
