COMPARISON OF PIXEL AND OBJECT BASED CLASSIFICATION METHODS ON RAPIDEYE SATELLITE IMAGE

The aim of this study is to evaluate the classification performances of land use/land cover (LULC) classification methods by comparing the results of pixel and object-based classification approaches on RapidEye satellite image. Pixel-based classification was carried out in ERDAS Imagine 10.4 using t...

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Veröffentlicht in:	Turkish Journal of Forest Science 2021-04, Vol.5 (1), p.1-11
Hauptverfasser:	ERSOY TONYALOĞLU, Ebru, ERDOGAN, Nurdan, ÇAVDAR, Betül, KURTŞAN, Kübra, NURLU, Engin
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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