Ground cover classification of satellite imagery on parallel architectures

Ground cover classification of satellite imagery on parallel architectures

In this thesis, a detailed review is performed on some existed unsupervised classification algorithms, such as k-means, fuzzy k-means, ISODATA, Improved Splitting and Merging Clustering (ISMC) algorithm, and Mean-Shift algorithm. In particular, the ISMC algorithm and the Mean-Shift algorithm are ana...

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Bibliographic Details
Main Author: Liu, Bo
Other Authors: Timo Rolf Bretschneider
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Online Access:https://hdl.handle.net/10356/2364
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Institution: Nanyang Technological University
Description
Summary:In this thesis, a detailed review is performed on some existed unsupervised classification algorithms, such as k-means, fuzzy k-means, ISODATA, Improved Splitting and Merging Clustering (ISMC) algorithm, and Mean-Shift algorithm. In particular, the ISMC algorithm and the Mean-Shift algorithm are analysed carefully here.

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