Contour detection with bicubic spline surfaces

نویسندگان

چکیده

Contour detection has a rich history in multiple fields such as geography, engineering, and earth science. The predominant approach is based on piecewise planar tessellation now being challenged concerning the extraction of contour objects for non-linear elevation functions, particularly with respect to bicubic spline functions. A storage-efficient method was developed previous research, but complete set yet be realized. Although intractable, theoretical underpinnings pertinent curvature resulted an realize objects. Given digital model dataset, this study, surface function first determined. Thereafter, candidate initial points edges across region interest were identified, recursive disaggregation rectangles repeated if non-existence solution could not assured. tracking then applied. During advancement, other same curve identified eliminated circumvent duplicate detection. completeness outlets provides analytical tools geographical assessments. Demonstrative experiments included development three-dimensional contour-based network slope latter application transforms analysis type from raster-based vector-based. HighlightsDetection amenable surfaces.Small closure inside single patch detectable size exceeds standard.Curvature & tolerances central step length adjustment tangent angle determination.Redundant are during process.Various potential applications addition elevations.

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ژورنال

عنوان ژورنال: International Journal of Digital Earth

سال: 2023

ISSN: ['1753-8955', '1753-8947']

DOI: https://doi.org/10.1080/17538947.2023.2212919