Evaluation of the Pixel Based and Object Based Classification Methods For Monitoring Of Agricultural Land Cover Case study: Biddinghuizen - The Netherlands

Hossein Vahidi

Evaluation of the Pixel Based and Object Based Classification Methods For Monitoring Of Agricultural Land Cover Case study: Biddinghuizen - The Netherlands

Publish place: Geomatics 1389

Publish Year: 1389

Type: Conference paper

Language: English

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Link to this Paper:

https://civilica.com/doc/102504

Document National Code:

GEO89_164

Index date: 12 October 2010

Evaluation of the Pixel Based and Object Based Classification Methods For Monitoring Of Agricultural Land Cover Case study: Biddinghuizen - The Netherlands abstract

Many researches have been done to find a suitable method to classify the remote sensing data. Traditional classification methods are all pixel-based, and do not utilize the spatial information within an object which is an important source of information to image classification. Instead of pixels, pixel groups and object based methods offer the suitable approaches to classify remote sensing data. In this research the maximum likelihood as a pixel based method and object based classification method are used to classify remote sensing data from an agricultural region in Biddinghuizen -The Netherlands.Also the results of this study are evaluated and compared.

Evaluation of the Pixel Based and Object Based Classification Methods For Monitoring Of Agricultural Land Cover Case study: Biddinghuizen - The Netherlands Keywords:

Pixel Based , Maximum Likelihood , Object Based , Classification

Evaluation of the Pixel Based and Object Based Classification Methods For Monitoring Of Agricultural Land Cover Case study: Biddinghuizen - The Netherlands authors

Hossein Vahidi

MSc Student of Geoinformatics - ITC and KNTU Joint Program, Faculty of Geo-Information Science and Earth Observation (ITC), the University of Twente,Enschede, The Netherlands

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