Multitemporal fuzzy classification model based on class transition possibilities

verfasst von

Guilherme L.A. Mota, Raul Q. Feitosa, Heitor L.C. Coutinho, Claus Eberhard Liedtke, Sönke Müller, Kian Pakzad, Margareth S.P. Meirelles

Abstract

This paper proposes a new method to model temporal knowledge and to combine it with spectral and spatial knowledge within an integrated fuzzy automatic image classification framework for land-use land-cover map update applications. The classification model explores not only the object features, but also information about its class at a previous date. The method expresses temporal class dependencies by means of a transition diagram, assigning a possibility value to each class transition. A Genetic Algorithm (GA) carries out the class transition possibilities estimation. Temporal and spectral/spatial classification results are combined by means of fuzzy aggregation. The improvement achieved by the use of multitemporal knowledge rather than a pure monotemporal approach was assessed in a real application using LANDSAT images from Midwest Brazil. The experiments showed that the use of temporal knowledge markedly improved the classification performance, in comparison to a conventional single-time classification. A further observation was that multitemporal knowledge may subsume the knowledge related to steady spatial attributes whose values do not significantly change over time.

Organisationseinheit(en)

Institut für Informationsverarbeitung

Externe Organisation(en)

Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
Universidade do Estado do Rio de Janeiro
Embrapa - Empresa Brasileira de Pesquisa Agropecuaria

Typ

Artikel

Journal

ISPRS Journal of Photogrammetry and Remote Sensing

Band

62

Seiten

186-200

Anzahl der Seiten

15

ISSN

0924-2716

Publikationsdatum

08.2007

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Atom- und Molekularphysik sowie Optik, Ingenieurwesen (sonstige), Angewandte Informatik, Computer in den Geowissenschaften

Ziele für nachhaltige Entwicklung

SDG 15 – Lebensraum Land

Elektronische Version(en)

https://doi.org/10.1016/j.isprsjprs.2007.04.001 (Zugang: Geschlossen)