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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 - Syed Zulqarnain Ahmad Gilani
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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

ISBN: 3844386262

Paperback, [EAN: 9783844386264], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], 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. , 5, Computers & Technology, 549726, Business Technology, 3448, Certification, 3508, Computer Science, 549646, Databases & Big Data, 6133988011, Digital Audio, Video & Photography, 87, Games & Strategy Guides, 4134, Graphics & Design, 549652, Hardware & DIY, 10806606011, History & Culture, 69766, Internet & Social Media, 377557011, Mobile Phones, Tablets & E-Readers, 3652, Networking & Cloud Computing, 3756, Operating Systems, 3839, Programming, 3952, Programming Languages, 377560011, Security & Encryption, 4053, Software, 3510, Web Development & Design, 1000, Subjects, 283155, Books

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Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm - Syed Zulqarnain Ahmad Gilani
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Syed Zulqarnain Ahmad Gilani:

Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm - Taschenbuch

2011, ISBN: 3844386262

ID: 10409412673

[EAN: 9783844386264], Neubuch, [PU: LAP Lambert Acad. Publ. Sep 2011], This item is printed on demand - Print on Demand 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

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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 - Syed Zulqarnain Ahmad Gilani
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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

ISBN: 3844386262

Paperback, [EAN: 9783844386264], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], LAP LAMBERT Academic Publishing, An optimal approach to unsupervised colour image clustering is presented in this research which is s...., 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books

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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 - Syed Zulqarnain Ahmad Gilani
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ISBN: 9783844386264

ID: 9783844386264

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 Author :Syed Zulqarnain Ahmad Gilani 9783844386264 3844386262

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Automated Glacier Segmentation by Fast Adaptive Medoid Shift Algorithm - Gilani, Syed Zulqarnain Ahmad
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Gilani, Syed Zulqarnain Ahmad:
Automated Glacier Segmentation by Fast Adaptive Medoid Shift Algorithm - Taschenbuch

2011, ISBN: 3844386262

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Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm
Autor:

Gilani, Syed Zulqarnain Ahmad

Titel:

Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm

ISBN-Nummer:

3844386262

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 28.06.2009 15:12:20
Buch zuletzt gefunden am 04.04.2016 21:51:07
ISBN/EAN: 3844386262

ISBN - alternative Schreibweisen:
3-8443-8626-2, 978-3-8443-8626-4

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