C-Pro: A coastal projector monitoring system using terrestrial photogrammetry with a geometric horizon constraint
| العنوان: | C-Pro: A coastal projector monitoring system using terrestrial photogrammetry with a geometric horizon constraint |
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| المؤلفون: | Sánchez García, Elena, Balaguer-Beser, Ángel, Pardo Pascual, Josep Eliseu |
| المصدر: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| بيانات النشر: | Elsevier BV, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | 010504 meteorology & atmospheric sciences, Computer science, Reliability (computer networking), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 010502 geochemistry & geophysics, 01 natural sciences, law.invention, Beach monitoring, law, Computers in Earth Sciences, MATLAB, Engineering (miscellaneous), 0105 earth and related environmental sciences, computer.programming_language, Remote sensing, Coastal management, Collinearity, Atomic and Molecular Physics, and Optics, Computer Science Applications, Constraint (information theory), Photogrammetry, Projector, Feature (computer vision), Video-imaging system, INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA, MATEMATICA APLICADA, Recreational cameras, computer |
| الوصف: | [EN] This paper describes a methodological protocol to project a terrestrial photograph of a coastal area or whatever indicator is contained on it in a georeferenced plane taking advantage of the terrestrial horizon as a geometric key. This feature, which appears in many beach photos, helps in camera repositioning and as a constraint in collinearity adjustment. This procedure is implemented in a tool called Coastal Projector (C-Pro) that is based on Matlab and adapts its methodology in accordance with the input data and the available parameters of the acquisition system. The method is tested in three coastal areas to assess the influence that the horizon constraint presents in the results. The proposed methodology increases the reliability and efficient use of existing recreational cameras (with non-optimal requirements, unknown image calibration, and at elevations lower than 7 m) to provide quantitative coastal data. This study is part of the PhD dissertation of the first author, which is supported by a grant from the Spanish Ministry of Education, Culture and Sports (I+D+i 2013–2016). Two other projects participated: one from the Spanish Ministry of Economy and Competitiveness (CGL2015-69906-R) and the other from the Valencia Regional Government (AICO/2015/098). The Department of Geology, Faculty of Science of the University of Lisbon provided Magoito data thanks to a PhD stay of the first author under the supervision of Dr. Rui Taborda. The authors gratefully acknowledge the constructive comments provided by Dr. Jaime Almonacid. |
| وصف الملف: | application/pdf |
| تدمد: | 0924-2716 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c22178bfc81d3f2e5c882d6194a58bTest https://doi.org/10.1016/j.isprsjprs.2017.03.023Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....04c22178bfc81d3f2e5c882d6194a58b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 09242716 |
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