Extract And Research Based On The Topological Analysis For Ocean Feature Structure

An urgent demand for studying and developing theory, techniques and methods for ocean information visualization has been brought up since Data Ocean Project is included in the China's Tenth Five-year Plan and the 2015 national Ocean Science and Technology Development Plan.Feature-based Visualization is a new visualization method, which is advanced on 1990s, and developing quickly. This kind of method, which is selectable, can filter outlying data to decrease the information to be disposed and even gain the quantificational description of the extracted feature, according to visualize those meaning parts in the field. Feature–is the main task of method Feature-based Visualization and it is the first-line step for feature tracking and event detecting. Its target is mensurating and describing the feature of the dataset. And it can be divided into image-based feature extraction, topology-based feature extraction.For large and complex flow data such as ocean flow field, it's nearly impossible to visualize the whole information it contains. Therefore, Feature-based Visualization becomes a certain choice. For us, the topology-based method for feature extraction is the mostly using for researching ocean feature structure.Water mass analysis is always a important thesis on the ocean research. Finding a method based on religious theory, which can depart the water mass externally, accurately, automatically and effectively, is always a problem needed to explore. For resolving the problem of precisely locating boundaries of water masses in the oceanic water mass analysis, applying topology theory and visualization technology,...