Computational aspects of the crop field segmentation problem based on anisotropic active contour model

In this paper, we analyze the numerical aspects of the practical implementation of the generalized active contour model, that has been recently proposed in the literature, for extracting agricultural crop fields with a high level of inhomogeneity from satellite data. We also derive the corresponding Euler–Lagrange equation and discuss its relaxation method.

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Publication Details

Journal
An International Journal of Optimization and Control Theories & Applications (IJOCTA)
Published
2025-05-20
DOI
https://doi.org/10.36922/ijocta025060018
Primary Topic
Smart Agriculture and AI
Type
article
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article

Computational aspects of the crop field segmentation problem based on anisotropic active contour model

Umberto De Maio, Rosanna Manzo, Ciro D’Apice, Peter I. Kogut
An International Journal of Optimization and Control Theories & Applications (IJOCTA)
Smart Agriculture and AI
article

Computational aspects of the crop field segmentation problem based on anisotropic active contour model

Umberto De Maio, Rosanna Manzo, Ciro D’Apice, Peter I. Kogut
article en

Abstract

In this paper, we analyze the numerical aspects of the practical implementation of the generalized active contour model, that has been recently proposed in the literature, for extracting agricultural crop fields with a high level of inhomogeneity from satellite data. We also derive the corresponding Euler–Lagrange equation and discuss its relaxation method.

An International Journal of Optimization and Control Theories & Applications (IJOCTA)Vol. 0(0)
Openalex Percentile: Top 92%
Smart Agriculture and AI
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Computational aspects of the crop field segmentation problem based on anisotropic active contour model — Umberto De Maio, Rosanna Manzo, et al. · An International Journal of Optimization and Control Theories & Applications (IJOCTA) (2025) | TGRS Research Map | TGRS