Fuzzy representation of land cover classes using digital geo-data

Mavrantza, OD; Karadimas, NV

dc.contributor.author	Mavrantza, OD	en
dc.contributor.author	Karadimas, NV	en
dc.date.accessioned	2014-03-01T02:44:38Z
dc.date.available	2014-03-01T02:44:38Z
dc.date.issued	2007	en
dc.identifier.issn	10987584	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31923
dc.subject	Data Processing	en
dc.subject	Environmental Protection	en
dc.subject	Fuzzy Membership Function	en
dc.subject	Human Activity	en
dc.subject	Knowledge Base	en
dc.subject	Landsat Tm	en
dc.subject	Object Oriented	en
dc.subject	Remote Sensing	en
dc.subject	Satellite Image	en
dc.subject	Spatial Context	en
dc.subject	Topographic Map	en
dc.subject	Land Cover	en
dc.subject.other	Data processing	en
dc.subject.other	Digital arithmetic	en
dc.subject.other	Environmental engineering	en
dc.subject.other	Environmental protection	en
dc.subject.other	Fuzzy logic	en
dc.subject.other	Fuzzy systems	en
dc.subject.other	Imaging techniques	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Knowledge representation	en
dc.subject.other	Landforms	en
dc.subject.other	Maps	en
dc.subject.other	Optical projectors	en
dc.subject.other	Remote sensing	en
dc.subject.other	Space optics	en
dc.subject.other	Data processing techniques	en
dc.subject.other	Earth surfaces	en
dc.subject.other	Fuzzy membership functions	en
dc.subject.other	Geo-data	en
dc.subject.other	Geologic maps	en
dc.subject.other	Geometric attributes	en
dc.subject.other	Human activities	en
dc.subject.other	Input data	en
dc.subject.other	International conferences	en
dc.subject.other	Knowledge base	en
dc.subject.other	Land cover	en
dc.subject.other	LANDSAT	en
dc.subject.other	Object-oriented	en
dc.subject.other	Protection and management	en
dc.subject.other	Satellite imaging	en
dc.subject.other	Spatial context	en
dc.subject.other	Topographic maps	en
dc.subject.other	Membership functions	en
dc.title	Fuzzy representation of land cover classes using digital geo-data	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/FUZZY.2007.4295683	en
heal.identifier.secondary	4295683	en
heal.identifier.secondary	http://dx.doi.org/10.1109/FUZZY.2007.4295683	en
heal.publicationDate	2007	en
heal.abstract	The earth surface and human activities are interrelated in a complicated manner, and therefore it is somehow difficult to be monitored and managed. On this context it is required to develop effective directives of policies for environmental protection and management. In order to exploit context in imagery, a methodological approach employed data processing techniques was proposed in this work. This approach was applied on a LANDSAT-TM satellite image and other digital geo-data (such as scanned geologic maps, topographic maps, etc) of a selected study area in Greece. The proposed scheme generally consisted of the following stages: (1) Remote Sensing methods and analysis for extracting the required thematic information to be used as input data and (2) Fuzzy representation of the intrinsic land cover classes in the geodata through an object-oriented knowledge base design. The inherent land cover classes were represented by their intrinsic spectral and geometric attributes, texture, spatial context and association and fuzzy membership functions. © 2007 IEEE.	en
heal.journalName	IEEE International Conference on Fuzzy Systems	en
dc.identifier.doi	10.1109/FUZZY.2007.4295683	en