Coastal morphodynamic features/patterns analysis through a video-based system and image processing

Fábio Santos; Joaquim Pais-Barbosa; Ana C. Teodoro; Hernâni Gonçalves; Paolo Baptista; António Moreira; Fernando Veloso-Gomes; Francisco Taveira-Pinto; Paulo Gomes-Costa; Vítor Lopes; Filipe Neves-Santos

doi:10.1117/12.974679

25 October 2012 Coastal morphodynamic features/patterns analisys through a video-based system and image processing

Fábio Santos, Joaquim Pais-Barbosa, Ana C. Teodoro, Hernâni Gonçalves, Paolo Baptista, António Moreira, Fernando Veloso-Gomes, Francisco Taveira-Pinto, Paulo Gomes-Costa, Vítor Lopes, Filipe Neves-Santos

Author Affiliations +

Proceedings Volume 8538, Earth Resources and Environmental Remote Sensing/GIS Applications III; 85381Q (2012) https://doi.org/10.1117/12.974679
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom

Abstract

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®, 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.

Citation Download Citation

Fábio Santos, Joaquim Pais-Barbosa, Ana C. Teodoro, Hernâni Gonçalves, Paolo Baptista, António Moreira, Fernando Veloso-Gomes, Francisco Taveira-Pinto, Paulo Gomes-Costa, Vítor Lopes, and Filipe Neves-Santos "Coastal morphodynamic features/patterns analisys through a video-based system and image processing", Proc. SPIE 8538, Earth Resources and Environmental Remote Sensing/GIS Applications III, 85381Q (25 October 2012); https://doi.org/10.1117/12.974679

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available