A shoreline-estimation system using remote radar sensing and image-processing techniques

This paper proposes a radar-based sensing system that estimates the coordinates for shorelines based on image-processing techniques. The proposed system provides shore estimations without appreciable loss of resolution and avoids the costs associated with bathymetries and/or satellite images. The system is comprised of a commercial radar, a GPS, and a heading sensor, which communicates to a central node that georeferences the radar measurements and runs the image-processing algorithms. A dedicated FPGA-based unit is implemented to interface with the radar internal signaling to extract and deliver the radar information. In the central node, a novel mathematical model is proposed for georefencing radar measurements to WSG-84 coordinates. A seam-carving-like algorithm is applied over the estimated coordinates to create a shoreline based on a probability heat map. The system performance is validated using official geographical information, showing that a continuous shoreline can be generated with a CEP of up to 6 m without incurring elevated costs.

• Autores: Velez, Juan Carlos; Posada, Jhonathan; Serrano, Antonio; Manjarres, Jose; Niebles, Juan Carlos; Pardo, Mauricio
• Tipo de recurso: Article of journal
• Fecha de publicación: 2017
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/60421
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/60421; http://bdigital.unal.edu.co/58753/
• Palabra clave: 62 Ingeniería y operaciones afines / Engineering; mathematical coordinate mode; biased estimator; radar; FPGA-based system; kernel density estimation; heat map; seam carving; modelo matemático de coordenadas; estimador sesgado; radar; sistema a la medida implementado en FPGA; estimación basada en probabilidad; heat map; seam carving
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional