Comparison of Three Image Classification Methods in Urban Environment

Malgorzata Verőné Wojtaszek¹, Valéria Balázsik¹, Tamás Jancsó¹, Margit Horoszné Gulyás¹, Qingyan Meng²

¹Alba Regia Technical Faculty, Obuda University, Székesfehérvár, Hungary.
²Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.

DOI: 10.4236/gep.2015.32009                

Abstract

The article is dealing with different classification methods applied for urban aerial photos having visible and infrared channels. An accuracy assessment was carried out to compare the results gained from different classification methods.

Keywords

Classification, Neuralnet, Segments, Land Cover

Conflicts of Interest

The authors declare no conflicts of interest.

References

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