Multitemporal Remote Sensing for Urban Mapping using KTH-SEG and KTH-Pavia Urban Extractor

Multitemporal Remote Sensing for Urban Mapping using KTH-SEG and KTH-Pavia Urban Extractor

The objective of this licentiate thesis is to develop novel algorithms and improve existing methods for urban land cover mapping and urban extent extraction using multi-temporal remote sensing imagery. Past studies have demonstrated that synthetic aperture radar (SAR) have very good properties for t...

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Bibliographic Details
Main Author: Jacob, Alexander
Format: Others
Language:English
Published: KTH, Geodesi och geoinformatik 2014
Subjects:
KTH-SEG
ASAR
HJ-1B
Urban Land Cover Mapping
OBIA
Segmentation
Image Classification
KTH-Pavia Urban Extractor
Urban Extent
Other Computer and Information Science
Annan data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147159
http://nbn-resolving.de/urn:isbn:978-91-7595-188-1

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147159
http://nbn-resolving.de/urn:isbn:978-91-7595-188-1

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