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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-2364
record_format dspace
spelling sg-ntu-dr.10356-23642023-03-04T00:39:16Z Ground cover classification of satellite imagery on parallel architectures Liu, Bo Timo Rolf Bretschneider School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems 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. MASTER OF ENGINEERING (SCE) 2008-09-17T09:01:01Z 2008-09-17T09:01:01Z 2005 2005 Thesis Liu, B. (2005). Ground cover classification of satellite imagery on parallel architectures. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2364 10.32657/10356/2364 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Liu, Bo
Ground cover classification of satellite imagery on parallel architectures
description 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.
author2 Timo Rolf Bretschneider
author_facet Timo Rolf Bretschneider
Liu, Bo
format Theses and Dissertations
author Liu, Bo
author_sort Liu, Bo
title Ground cover classification of satellite imagery on parallel architectures
title_short Ground cover classification of satellite imagery on parallel architectures
title_full Ground cover classification of satellite imagery on parallel architectures
title_fullStr Ground cover classification of satellite imagery on parallel architectures
title_full_unstemmed Ground cover classification of satellite imagery on parallel architectures
title_sort ground cover classification of satellite imagery on parallel architectures
publishDate 2008
url https://hdl.handle.net/10356/2364
_version_ 1759855979109810176

Similar Items