3,878 research outputs found

    Airborne laser bathymetry for documentation of submerged archaeological sites in shallow water

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    Knowledge of underwater topography is essential to the understanding of the organisation and distribution of archaeological sites along and in water bodies. Special attention has to be paid to intertidal and inshore zones where, due to sea-level rise, coastlines have changed and many former coastal sites are now submerged in shallow water. Mapping the detailed inshore topography is therefore important to reconstruct former coastlines, identify sunken archaeological structures and locate potential former harbour sites. However, until recently archaeology has lacked suitable methods to provide the required topographical data of shallow underwater bodies. Our research shows that airborne topo-bathymetric laser scanner systems are able to measure surfaces above and below the water table over large areas in high detail using very short and narrow green laser pulses, even revealing sunken archaeological structures in shallow water. Using an airborne laser scanner operating at a wavelength in the green visible spectrum (532 nm) two case study areas in different environmental settings (Kolone, Croatia, with clear sea water; Lake Keutschach, Austria, with turbid water) were scanned. In both cases, a digital model of the underwater topography with a planimetric resolution of a few decimeters was measured. While in the clear waters of Kolone penetration depth was up to 11 meters, turbid Lake Keutschach allowed only to document the upper 1.6 meters of its underwater topography. Our results demonstrate the potential of this technique to map submerged archaeological structures over large areas in high detail providing the possibility for systematic, large scale archaeological investigation of this environment

    Improvement of Image Alignment Using Camera Attitude Information

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    We discuss a proposed technique for incorporation of information from a variety of sensors in a video imagery processing pipeline. The auxiliary information allows one to simplify computations, effectively reducing the number of independent parameters in the transformation model. The mosaics produced by this technique are adequate for many applications, in particular habitat mapping. The algorithm, demonstrated through simulations and hardware configuration, is described in detai

    Real-time Model-based Image Color Correction for Underwater Robots

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    Recently, a new underwater imaging formation model presented that the coefficients related to the direct and backscatter transmission signals are dependent on the type of water, camera specifications, water depth, and imaging range. This paper proposes an underwater color correction method that integrates this new model on an underwater robot, using information from a pressure depth sensor for water depth and a visual odometry system for estimating scene distance. Experiments were performed with and without a color chart over coral reefs and a shipwreck in the Caribbean. We demonstrate the performance of our proposed method by comparing it with other statistic-, physic-, and learning-based color correction methods. Applications for our proposed method include improved 3D reconstruction and more robust underwater robot navigation.Comment: Accepted at the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS

    Sensor-Assisted Video Mosaicing for Seafloor Mapping

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    This paper discusses a proposed processing technique for combining video imagery with auxiliary sensor information. The latter greatly simplifies image processing by reducing complexity of the transformation model. The mosaics produced by this technique are adequate for many applications, in particular habitat mapping. The algorithm is demonstrated through simulations and hardware configuration is described

    Efficient Approach for OS-CFAR 2D Technique Using Distributive Histograms and Breakdown Point Optimal Concept applied to Acoustic Images

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    In this work, a new approach to improve the algorithmic efficiency of the Order Statistic-Constant False Alarm Rate (OS-CFAR) applied in two dimensions (2D) is presented. OS-CFAR is widely used in radar technology for detecting moving objects as well as in sonar technology for the relevant areas of segmentation and multi-target detection on the seafloor. OS-CFAR rank orders the samples obtained from a sliding window around a test cell to select a representative sample that is used to calculate an adaptive detection threshold maintaining a false alarm probability. Then, the test cell is evaluated to determine the presence or absence of a target based on the calculated threshold. The rank orders allows that OS-CFAR technique to be more robust in multi-target situations and less sensitive than other methods to the presence of the speckle noise, but requires higher computational effort. This is the bottleneck of the technique. Consequently, the contribution of this work is to improve the OS-CFAR 2D with the distributive histograms and the optimal breakdown point optimal concept, mainly from the standpoint of efficient computation. In this way, the OS-CFAR 2D on-line computation was improved, by means of speeding up the samples sorting problem through the improvement in the calculus of the statistics order. The theoretical algorithm analysis is presented to demonstrate the improvement of this approach. Also, this novel efficient OS-CFAR 2D was contrasted experimentally on acoustic images.Fil: Villar, Sebastian Aldo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Tandil. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de IngenierĂ­a OlavarrĂ­a. Departamento de ElectromecĂĄnica. Grupo INTELYMEC; ArgentinaFil: Menna, Bruno Victorio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Tandil. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de IngenierĂ­a OlavarrĂ­a. Departamento de ElectromecĂĄnica. Grupo INTELYMEC; ArgentinaFil: Torcida, SebastiĂĄn. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Departamento de MatemĂĄtica; ArgentinaFil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de IngenierĂ­a OlavarrĂ­a. Departamento de ElectromecĂĄnica. Grupo INTELYMEC; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Tandil. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Centro de Investigaciones en FĂ­sica e IngenierĂ­a del Centro de la Provincia de Buenos Aires; Argentin

    The GE.N.ESIS Project - Georeferenced Depiction and Synthesis of Marine Archaeological Survey Data in Greece

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    Through the GE.N.ESIS project, the Hellenic Ephorate of Underwater Antiquities (EUA) is introduced to a digital tool for visualisation and synthesis of underwater archaeological data. A marine geoarchaeological survey was conducted at the Methoni underwater archaeological site (Greece) in the summer of 2012 utilising geophysical instruments. The acquired data together with archival archaeological data was managed through a Geographical Information System (GIS). The survey results present the ruins of a submerged prehistoric settlement, the Methoni ancient harbour and submerged breakwater, wrecks, cannons and artefacts/features – all of which are of potential archaeological interest. The project outcomes provide the genesis of a new baseline capability for the cultural management of the Greek archaeological sites.Gracias al Proyecto GE.N.ESIS, le ha sido presentada al “Hellenic Ephorate of Underwater Antiquities” (EUA) una herramienta digital para la visualizaciĂłn y la sĂ­ntesis de datos arqueolĂłgicos submarinos. Un levantamiento geoarqueolĂłgico marino fue efectuado en el sitio arqueolĂłgico submarino de Methoni (Grecia) durante el verano del 2012, utilizando instrumentos geofĂ­sicos. Los datos adquiridos, junto con los datos de los archivos arqueolĂłgicos, fueron administrados a travĂ©s del Sistema de InformaciĂłn GeogrĂĄfica (SIG). Los resultados del levantamiento presentan las ruinas de un emplaza-miento prehistĂłrico sumergido, el antiguo Puerto de Methoni y el rompeolas sumergido, restos de naufragios, cañones y artefactos/objetos, todos ellos de un interĂ©s arqueolĂłgi-co potencial. El resultado del proyecto proporciona la gĂ©nesis de una nueva capacidad de referencia para la gestiĂłn cultural de los sitios arqueolĂłgicos griegos.Dans le cadre du projet GE.N.ESIS, l’éphorat grec des antiquitĂ©s sous-marines (EUA) est prĂ©sentĂ© via un outil numĂ©rique de visualisation et de synthĂšse des donnĂ©es archĂ©ologi-ques sous-marines. Un levĂ© gĂ©o-archĂ©ologique marin a Ă©tĂ© rĂ©alisĂ© sur le site d’archĂ©olo-gie marine de MĂ©thone (GrĂšce) au cours de l’étĂ© 2012 Ă  l’aide d’instruments de gĂ©ophysique. Les donnĂ©es acquises ainsi que les donnĂ©es archĂ©ologiques d’archives ont Ă©tĂ© gĂ©rĂ©es via un systĂšme d’information gĂ©ographique (SIG). Les rĂ©sultats du levĂ© prĂ©sentent les ruines d’une zone de peuplement prĂ©historique submergĂ©e, l’ancien port de MĂ©thone et des brise-lames, Ă©paves, canons et artefacts/Ă©lĂ©ments submergĂ©s – tous d’intĂ©rĂȘt archĂ©ologique potentiel. Les rĂ©sultats du projet fournissent la gĂ©nĂšse d’une nouvelle capacitĂ© de base pour la gestion culturelle des sites archĂ©ologiques grecs
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