Multitemporal Data Registration through Global Matching of Networks of Free-form Curves

VASSILAKI, D; IOANNIDIS, C; STAMOS, A

dc.contributor.author	VASSILAKI, D	en
dc.contributor.author	IOANNIDIS, C	en
dc.contributor.author	STAMOS, A	en
dc.date.accessioned	2014-03-01T01:58:00Z
dc.date.available	2014-03-01T01:58:00Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28593
dc.relation.uri	https://www.fig.net/pub/fig2009/papers/ts06b/ts06b_vassilaki_ioannidis_stamos_3464.pdf	en
dc.relation.uri	http://www.fig.net/pub/fig2009/papers/ts06b/ts06b_vassilaki_ioannidis_stamos_3464.pdf	en
dc.subject	Change Detection	en
dc.subject	geospatial data	en
dc.subject	Heterogeneous Data	en
dc.subject	High Resolution Satellite Images	en
dc.subject	Hybrid Method	en
dc.subject	Iterative Closest Point	en
dc.subject	Temporal Change	en
dc.subject	Topographic Map	en
dc.subject	Urban Development	en
dc.subject	Iterative Closest Point Algorithm	en
dc.title	Multitemporal Data Registration through Global Matching of Networks of Free-form Curves	en
heal.type	journalArticle	en
heal.publicationDate	2009	en
heal.abstract	SUMMARY In recent years the frequency of geospatial data collection (optical, SAR, lidar, hyperspectral) has been increased and the methods for surveying and mapping of earth's surface have been improved technically and economically. Consequently, a large volume of multitemporal data is available, which contains information appropriate for a number of applications, such as temporal change detection, coastline or urban development	en