Urban land cover classification from multi-sensor images by decision fusion based on weights of evidence model

Urban land cover classification from multi-sensor images by decision fusion based on weights of evidence model

In this study we proposed a decision fusion method based on the weights of evidence model for land cover classification using multisensor data. The proposed method was evaluated in land cover classification over an urban area using Landsat TM and ENVISAT ASAR data. The results showed that the propos...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Peijun Li, Benqin Song
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accuracy
Data models
Earth
Reliability
Remote sensing
Satellites
Support vector machines
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Beschreibung
Zusammenfassung:In this study we proposed a decision fusion method based on the weights of evidence model for land cover classification using multisensor data. The proposed method was evaluated in land cover classification over an urban area using Landsat TM and ENVISAT ASAR data. The results showed that the proposed method effectively combined multisensor data in land cover classification and obtained higher classification accuracy than the use of single source data.