Automated granulometric analysis and grain-shape estimation of beach sediments using object-based image analysis
نویسنده
چکیده
Urbanski, J. A., Wochna A., Herman A., 2011. Automated granulometric analysis and grain-shape estimation of beach sediments using object-based image analysis. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), – . Szczecin, Poland, ISSN 0749-0208 This work presents an automated, image-analysis based method for determining the grain characteristics of sandy, unconsolidated beach sediments. The main purpose of the study is to develop an efficient and reliable alternative to the traditional, very laborious sieving analysis. Moreover, the method should provide a wide range of features characterizing the sediment, including the grain-size distribution and the main geometric measures of the grains. The method proposed here is based on the Object-Based Image Analysis (OBIA) techniques available in Definiens Developer 7 (DD7). They are applied to high-resolution digital images of sand grains placed on a light box screen. The main stages of the algorithm include a multi-resolution segmentation of the image, separation of the background from the remaining objects and a method of distinguishing between separate grains and their agglomerates, based on the so-called elliptic-fit feature of DD7. In the final, calibrated algorithm, the probability of grain clusters being incorrectly classified as separate grains is less than 3%. The results obtained with OBIA are compared with those obtained by sieving for 22 sand samples. The statistical analysis of the grain-size distributions obtained with both methods showed that in most cases they give very similar results, especially for narrow size distributions with a clearly pronounced peak. For samples with a wider range of grain sizes, and/or with more irregular grain shapes, the differences are larger and depend on the details of the method in which the grain-size distribution is calculated from the data provided by OBIA. ADDITIONAL INDEX WORDS: sand, OBIA, beach sediments, granulometry, grain-size distribution
منابع مشابه
Application of image-based granulometry to siliceous and calcareous estuarine and marine sediments
Grain-size analysis has long been used as a descriptor of transport and depositional processes. This paper presents the possibility of using image-based granulometries, not yet widely used in the earth sciences, to characterize granulometric composition of unconsolidated estuarine and marine sediments. To test the method, conventional sediment analysis of siliceous and calcareous sediments are ...
متن کاملFacies analysis, sedimentary environment and geochemistry of core sediments from the southern Coast of Caspian Sea, Mazandaran Province, Iran
1- Introduction The sediment cores BAG, AZD and AM in the Babolsar, Jouybar and Zaghmarz areas are located at the southern Iranian part of the coastal plain of the Caspian Sea. These areas are contained by major mountain ridge, the Alborz in the south (Central Alborz Structural Zone). The Alborz Mountain represent the main source of terrigenous materials in the South basin of the Caspian Sea. ...
متن کاملStatistical Analysis of Sediment Diameter of West Lut Desert Barchan and the Study of their Type and Origin
Extended abstract 1- Introduction Granulometric analysis is a common tool used to understand and determine the origin of wind sands, and is applied in desertification studies; to realize such knowledge, the parameters of sand particles size as well as statistical analysis such as mean, standard deviation, kurtosis, skewness, etc. are used. One of the most common types of sand dunes formed...
متن کاملMicro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation
Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characte...
متن کاملAutomated Image Analysis for Measuring Size and Shape of Martian Sand Grains: a Tool to Estimate Threshold Shear Velocities and to Compare Different Sand Samples
Introduction: In order to study the aeolian transport on Mars, it is necessary to acquire some information on material being transported. The most important information is related to the size, density and shape of loose particles which can be subjected to aeolian transport. Martian deposits are clearly visible in images obtained during various missions. It is possible to estimated the size, and...
متن کامل