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Oct 26, 2024 · The local orientation feature is defined as the difference between the maximum and the minimum values of the morphological directional profile.
Abstract: The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatial-spectral detector is proposed.
The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatialspectral detector is proposed.
The local orientation is computed from the morphological directional profile built with a serie of linear openings in several directions. These features are ...
Dive into the research topics of 'Hedges detection using local directional features and support vector data description'. Together they form a unique ...
The local orientation feature is defined as the difference between the maximum and the minimum values of the morphological directional profile. A second ...
The detection of hedges is addressed in this paper. A hierarchical detection scheme in two steps is proposed. It is based on the use of both spatial ...
Jan 5, 2021 · Fauvel et al., “Hedges detection using local directional features and support vector data description,” in Proc. Int. Geosci. and Remote ...
Hedges detection using local directional features and support vector data description ... based on the integration of support vector machine and random forest ...
This paper explores the use of radar SAR imagery to (i) detect hedgerow networks; and (ii) describe the hedgerow canopy heterogeneity using TerraSAR-X imagery.