Work

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

Year: 2024

Type: article

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.

Source: Remote Sensing Letters

DOI: 10.1080/2150704x.2024.2420286

Authors: Xavier Pons, Jordi Cristóbal, José Sanjurjo-Vílchez

Institutions: Universitat Autònoma de Barcelona, Instituto de Investigaciones de la Amazonía Peruana

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid