INVESTIGADORES
PERILLO Gerardo Miguel E.
artículos
Título:
Automatic methodology for mapping of coastal zones in video sequences
Autor/es:
REVOLLO SARMIENTO, N.V.; DELRIEUX, C.A.; PERILLO, G.M.E.
Revista:
MARINE GEOLOGY
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Lugar: Amsterdam; Año: 2016 vol. 381 p. 87 - 101
ISSN:
0025-3227
Resumen:
Gathering precise and detailed geomorphological and dynamic information of coastal processes is increasinglyrequired for environmental studies and coastalmanagement policies aswell. Traditionalmethods for in situ measurements,or remote sensing monitoring by satellites or airbone imagery, impose limitations and tradeoffs betweenimage quality, operational costs, availability, and negative environmental effects. These limitations andtradeoffs restrict the kind of environmental studies that can be undertaken, specifically when a high spatialand temporal resolution is required over wide geographical areas. In the last decades, videomonitoring systemshave demonstrated to be a cost-effective alternative for this and other similar purposes. Notwithstanding that,video processing is not fully mature in the context of environmental monitoring in general, and, thus, most ofthe past and current efforts have been developed in an ad hoc basis. This has the drawback that most availablesolutions are hardly useful in contexts different fromtheir original setup. In thiswork we develop an autonomousapplication for geographic feature extraction and recognition in coastal videos. Specifically, we address the classificationand feature measurement ofmultiple beach zones, a topic addressed to a lesser extent by other projects.The system is designed to be deployed in inexpensive, off-the-shelf hardware, and open source software developmentframeworks, in a way such that the results can be easily replicated by other research groups. The initialsetup and calibration requires very simple supervision, thus allowing the system to be used in a variety of coastalenvironments.