Some notes on the divergence and transformed divergence formulae in the remote sensing literature

Divergence, and particularly Transformed Divergence, are key separability metrics in remote sensing, predominantly utilized for digital image classification to achieve thematic mapping. Despite the widespread use of Transformed Divergence, the mathematical expression of Divergence - essential for calculating Transformed Divergence - appears in the literature in two different formulations, leading to inconsistent results and confusion within the remote sensing community. This study addresses the original source of Divergence, clarifies its correct formulation, and examines implementations that calculate Divergence and/or Transformed Divergence based on the original formula. Additionally, it provides data to verify the accuracy of future implementations and quantitatively shows the erratic implications of incorrect calculations.

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Publication Details

Journal
Remote Sensing Letters
Published
2024-10-28
DOI
https://doi.org/10.1080/2150704x.2024.2420286
Citations
3
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
0.96

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article

Some notes on the divergence and transformed divergence formulae in the remote sensing literature

Jordi Cristóbal, José SANJURJO-VÍLCHEZ, Xavier Pons
3 citations
Remote Sensing Letters
Remote-Sensing Image Classification
0.96
article

Some notes on the divergence and transformed divergence formulae in the remote sensing literature

Jordi Cristóbal, José SANJURJO-VÍLCHEZ, Xavier Pons
article en
3 citations

Abstract

Divergence, and particularly Transformed Divergence, are key separability metrics in remote sensing, predominantly utilized for digital image classification to achieve thematic mapping. Despite the widespread use of Transformed Divergence, the mathematical expression of Divergence - essential for calculating Transformed Divergence - appears in the literature in two different formulations, leading to inconsistent results and confusion within the remote sensing community. This study addresses the original source of Divergence, clarifies its correct formulation, and examines implementations that calculate Divergence and/or Transformed Divergence based on the original formula. Additionally, it provides data to verify the accuracy of future implementations and quantitatively shows the erratic implications of incorrect calculations.

Remote Sensing LettersVol. 15(11)
Universitat Autònoma de Barcelona (ES), Instituto de Investigaciones de la Amazonía Peruana (PE)
Ministerio de Ciencia, Innovación y Universidades, Institució Catalana de Recerca i Estudis Avançats, Ministerio de Ciencia e Innovación, European Regional Development Fund, Agencia Estatal de Investigación
Reduced inequalities
Openalex Percentile: Top 20%
Remote-Sensing Image Classification
0.96
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Some notes on the divergence and transformed divergence formulae in the remote sensing literature — Jordi Cristóbal, José SANJURJO-VÍLCHEZ, et al. · Remote Sensing Letters (2024) | TGRS Research Map | TGRS