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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 31, Number 11(4) (2019)
Copyright(C) MYU K.K.
pp. 3849-3858
S&M2054 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2584
Published: November 30, 2019

Comparative Analysis of Generalized Intersection over Union and Error Matrix for Vegetation Cover Classification Assessment [PDF]

Hyun Choi, Hyun-Jik Lee, Ho-Jin You, Sang-Yong Rhee, and Wang-Su Jeon

(Received August 29, 2019; Accepted October 16, 2019)

Keywords: normalized difference vegetation index (NDVI), remote sensing, error matrix, Intersection over Union (IoU)

The result of vegetation cover classification greatly depends on the classification methods. Accuracy analysis is mostly performed using the error matrix in remote sensing. In recent remote sensing, image classification has been carried out on the basis of deep learning. In the field of image processing in computer science, Intersection over Union (IoU) is mainly used for accuracy analysis. In this study, the error matrix, which is frequently used in remote sensing, and IoU, which is mainly used for deep learning images, were compared and reviewed to analyze their accuracy levels for the results of vegetation index calculation. The results of vegetation index calculation were applied to the comparison of the accuracy levels of IoU and the error matrix. According to the results of accuracy analysis using the error matrix, which is based on random points, the accuracy of the normalized difference vegetation index (NDVI) was shown to be 82.4% and that of deep learning was shown to be 93.7%, with a difference of about 11.3%.

Corresponding author: Wang-su Jeon


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Hyun Choi, Hyun-Jik Lee, Ho-Jin You, Sang-Yong Rhee, and Wang-Su Jeon, Comparative Analysis of Generalized Intersection over Union and Error Matrix for Vegetation Cover Classification Assessment, Sens. Mater., Vol. 31, No. 11, 2019, p. 3849-3858.



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