Multitemporal fuzzy classification model based on class transition possibilities

authored by: 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.
Organisation(s): Institute of Information Processing
External Organisation(s): Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
Universidade do Estado do Rio de Janeiro
Embrapa - Empresa Brasileira de Pesquisa Agropecuaria
Type: Article
Journal: ISPRS Journal of Photogrammetry and Remote Sensing
Volume: 62
Pages: 186-200
No. of pages: 15
ISSN: 0924-2716
Publication date: 08.2007
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Atomic and Molecular Physics, and Optics, Engineering (miscellaneous), Computer Science Applications, Computers in Earth Sciences
Sustainable Development Goals: SDG 15 - Life on Land
Electronic version(s): https://doi.org/10.1016/j.isprsjprs.2007.04.001 (Access: Closed)