From fuzzy and object based classification to fuzzy and object based uncertainty evaluation
Autor(en): | Schiewe, J. Ehlers, M. Kinkeldey, C. Tomowski, D. |
Stichwörter: | Accuracy assessment; Discrete objects; Evaluation measures; Evaluation method; Fuzzy function; Fuzzy logic; Fuzzy sets; Geographic information systems; Geology; Ground truth; High resolution remote sensing; Integrated approach; Integrated control; Integrated method; Membership values; Monitoring; Object based; Object oriented method; Object oriented programming; Quality assessment; Remote sensing; Remote sensing data; Remote sensing, Fuzzy logic; Topographical objects; Transition zones; Uncertainty; Uncertainty evaluation; Uncertainty models, Environmental engineering | Erscheinungsdatum: | 2009 | Enthalten in: | Proceedings of SPIE - The International Society for Optical Engineering | Band: | 7478 | Zusammenfassung: | Regarding thematic processing of remote sensing data new problems have arisen with the rapid increase of geometric and spectral resolution. These have been partly solved through the application of object oriented methods and alternative (e.g. fuzzy logic) approaches for the actual allocation of a feature to a topographical object whereas these methods do not apply comprehensively to the quality assessment of the processed data. We present an integrated approach for the assessment of classified high-resolution remote sensing scenes which considers uncertainties - not only in the classified data but in the reference ("ground truth") data as well. Instead of discrete object boundaries we define transition zones between adjacent objects; a fuzzy function describes the distribution of class membership values within these zones. Thus we can compute an evaluation measure on the basis of the uncertainty model - the CFCM (Class-specific Fuzzy Certainty Measure) provides a quality assessment for classified remote sensing data considering uncertainties in geometry and semantics. The work is part of the project "CLassification Assessment using an Integrated Method (CLAIM)". © 2009 Copyright SPIE - The International Society for Optical Engineering. |
Beschreibung: | Conference of Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX ; Conference Date: 31 August 2009 Through 3 September 2009; Conference Code:78788 |
ISBN: | 9780819477835 | ISSN: | 0277786X | DOI: | 10.1117/12.830084 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-71549139736&doi=10.1117%2f12.830084&partnerID=40&md5=8ca3aff90f57b4c083233e73ffb096ef |
Zur Langanzeige
Seitenaufrufe
1
Letzte Woche
0
0
Letzter Monat
0
0
geprüft am 06.06.2024