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Random forest in remote sensing: A review of applications and future directions

Mariana Belgiu; Lucian Drăguţ · ISPRS Journal of Photogrammetry and Remote Sensing · 2016

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Author / responsible party
Mariana Belgiu; Lucian Drăguţ
Publisher
ISPRS Journal of Photogrammetry and Remote Sensing
Year
2016
Language
English

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APA 7

Belgiu, M. & Drăguţ, L. (2016). Random forest in remote sensing: A review of applications and future directions. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2016.01.011

MLA

Belgiu, Mariana, and Lucian Drăguţ. Random forest in remote sensing: A review of applications and future directions. ISPRS Journal of Photogrammetry and Remote Sensing, 2016. https://doi.org/10.1016/j.isprsjprs.2016.01.011.

Chicago

Belgiu, Mariana and Lucian Drăguţ. 2016. Random forest in remote sensing: A review of applications and future directions. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2016.01.011.

Harvard

Belgiu, M. and Drăguţ, L. 2016, Random forest in remote sensing: A review of applications and future directions, ISPRS Journal of Photogrammetry and Remote Sensing, available at: https://doi.org/10.1016/j.isprsjprs.2016.01.011 [Accessed 6 Aug. 2026].

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Title
Random forest in remote sensing: A review of applications and future directions
Author / contributors
Mariana Belgiu; Lucian Drăguţ
Publisher
ISPRS Journal of Photogrammetry and Remote Sensing
Publication year
2016
Language
English

Subjects

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Overfitting; Random forest; Classifier (UML); Computer science; Outlier; Artificial intelligence; Pattern recognition (psychology); Curse of dimensionality; Machine learning; Decision tree; Remote sensing; Data mining
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