COASTAL MORPHODYNAMIC FEATURES/PATTERNS ANALYSIS THROUGH A VIDEO BASED SYSTEM AND IMAGE PROCESSING

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Fabio Santos (Autor) Outra; Joaquim Pais Barbosa (Autor) FEUP; Ana C Teodoro (Autor) FCUP; Hernani Goncalves (Autor) FCUP; Paulo Baptista (Autor) FEUP; Antonio Moreira (Autor) FEUP; Fernando Veloso Gomes (Autor) FEUP; Francisco Taveira Pinto (Autor) FEUP; Paulo Gomes Costa (Autor) Outra; Vitor Lopes (Autor) Outra; Filipe Neves Santos (Autor) FEUP

Ata de Conferência Internacional

Título: EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS III

Conference on Earth Resources and Environmental Remote Sensing/GIS Applications III

Edinburgh, SCOTLAND, SEP 24-26, 2012

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 6 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia do ambiente

Outras Informações

ID Authenticus: P-002-E8W

DOI: 10.1117/12.974679

Abstract (EN): The Portuguese coastline, like many other worldwide coastlines, is often submitted to several types of extreme events resulting in erosion, thus, acquisition of high quality field measurements has become a common concern. The nearshore survey systems have been traditionally based on in situ measurements or in the use of satellite or aircraft mounted remote sensing systems. As an alternative, video-monitoring systems proved to be an economic and efficient way to collect useful and continuous data, and to document extreme events. In this context, is under development the project MoZCo (Advanced Methodologies and Techniques Development for Coastal Zone Monitoring), which intends to develop and implement monitoring techniques for the coastal zone based on a low cost video monitoring system. The pilot study area is Ofir beach (north of Portugal), a critical coastal area. In the beginning of this project (2010) a monitoring video station was developed, collecting snapshots and 10 minutes videos every hour. In order to process the data, several video image processing algorithms were implemented in Matlab (R), allowing achieve the main video-monitoring system products, such as, the shoreline detection. An algorithm based on image processing techniques was developed, using the HSV color space, the idea is to select a study and a sample area, containing pixels associated with dry and wet regions, over which a thresholding and some morphological operators are applied. After comparing the results with manual digitalization, promising results were achieved despite the method's simplicity, which is in continuous development in order to optimize the results.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12