Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers-Reference-Cited by-同舟云学术

Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

Published:2014-04-17 Issue:10 Volume:35 Page:3440-3458
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Adam Elhadi¹²,Mutanga Onisimo¹,Odindi John¹,Abdel-Rahman Elfatih M.¹

Affiliation:

1. School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville 3209, Pietermaritzburg, South Africa

2. School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand – Johannesburg, Wits 2050, Johannesburg, South Africa

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.903435

Reference84 articles.

1. Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry

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