Mostly motivated by the crop field classification problem and the automated computational methodology for extracting agricultural crop fields from satellite data, we proposed in a bounded variation (BV) space a new approach to the piecewise smooth approximation of the slope-based vegetation indices and the closely related crop field segmentation problem of multi-band satellite images.

On Generalized Active Contour Model in the Anisotropic BV Space and its Application to Satellite Remote Sensing of Agricultural Territory

Ciro D’Apice;Rosanna Manzo
2025

Abstract

Mostly motivated by the crop field classification problem and the automated computational methodology for extracting agricultural crop fields from satellite data, we proposed in a bounded variation (BV) space a new approach to the piecewise smooth approximation of the slope-based vegetation indices and the closely related crop field segmentation problem of multi-band satellite images.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4900835
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