Fuzzy hybrid method for the classification of wetlands in the Venice Lagoon

Elisabetta Binaghi; Pietro Alessandro Brivio; Pier Paolo Ghezzi; Anna Rampini; Eugenio Zilioli

doi:10.1117/12.295615

22 December 1997 Fuzzy hybrid method for the classification of wetlands in the Venice Lagoon

Elisabetta Binaghi, Pietro Alessandro Brivio, Pier Paolo Ghezzi, Anna Rampini, Eugenio Zilioli

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295615
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

In this study we propose the application of a fuzzy hybrid methodology for the classification of wetlands in the Venice lagoon: one of the most delicate examples of these types of ecosystems in the world. The identification of wetlands in these transitional areas is not a trivial task, since they are characterized by mixed signatures, depending on the amount of water, bare soil and vegetation components mainly present in the ground pixel. On the other hand, the importance of the maintaining of wetland extents by the use of remote sensing data justifies new efforts in order to increase result reliability, overtaking those obtained by traditional classification techniques. In this work, a fuzzy hybrid methodology has been applied in a specific area of the Venice lagoon, by using Landsat Thematic Mapper images and a set of color aerial photographs, at a higher geometric resolution, taken simultaneously with the satellite images classification results have been judged by experts a reliable basis for further multisource data analyses and accurate mapping procedure.

Citation Download Citation

Elisabetta Binaghi, Pietro Alessandro Brivio, Pier Paolo Ghezzi, Anna Rampini, and Eugenio Zilioli "Fuzzy hybrid method for the classification of wetlands in the Venice Lagoon", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295615

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KEYWORDS

Fuzzy logic

Earth observing sensors

Ecosystems

Image resolution

Landsat

Photography

Reliability

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