Coastal Monitoring and Feature Estimation with Small Format Cameras: Application to the Shoreline of Monte Hermoso, Argentina

NATALIA V. REVOLLO; CLAUDIO DELRIEUX; GERARDO M. E. PERILLO; MARINA P. CIPOLLETTI

Computer Science & Technology Series. XV Argentine Congress of Computer Science Selected Papers

Edulp

Lugar: La Plata; Año: 2010; p. 163 - 164

Abstract. Image and video processing of natural phenomena is one of thepreferred non-invasive monitoring techniques for environmental studies that is,however, limited through the high cost of the required equipment and thelimited access and precision of the processing algorithms. In this work wepropose a low cost methodology for environmental studies using unexpensiveoff-the-shelf hardware and simple yet powerful processing algorithms. Theimages are taken using small format RGB cameras and processed in standardlaptop equipments using open source libraries and processing algorithmsspecifically developed in general purpose programming languages. We appliedthis methodology to the coastal monitoring the shoreline of Monte Hermoso,Argentina, aimed at establishing accurate measurements of specific coastalfeatures, for instance the coastal length. The experimental results show that ourproposed unsupervised processing algorithm obtains results with a very highlevel of accuracy.