Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey-Reference-Cited by-同舟云学术

Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey

Published:2015-01-15 Issue:2 Volume:36 Page:442-464
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Akar Ö.¹,Güngör O.²

Affiliation:

1. Vocational School Land Registry and Cadastre, Erzincan University, 24100 Erzincan, Turkey

2. Department of Geomatics Engineering, Karadeniz Technical University, 61080 Trabzon, Turkey

Funder

TÃ¼rkiye Bilimsel ve Teknolojik Arastirma Kurumu

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.995276

Reference23 articles.

1. Classification of multispectral images using Random Forest algorithm

2. Empirical characterization of random forest variable importance measures

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