Reseach On Space-radiation Environment Data Processing And Human-interactive Visualization

With the flourish of our aerospace industry, we have to attach more importance to space radiation effects. In the final analysis space radiation research is analysis of space radiation data. Space visualization which makes space visible and turns the dull data into vivid picture, plays an important role in space radiation research. It makes the analysis of spatial distribution pattern more easily and more efficiently.But in the process of space radiation environment visualization, we still encounter many problems. Firstly, the output of visualization is static while scientists achieve interactive visual results with different inputs. Secondly, image resolution is limited on account of calculation accuracy of spatial physical models. Thirdly, the entire process of calculation and visualization takes too much time. Lastly, satellite datasets always contain missing data.To address these concerns, this thesis makes a detailed analysis of data interpolation and human-machine interaction. Firstly, this thesis will work on space visualization and develop a series of human-interactive programs targeted for different development phases. Secondly, this thesis will expatiate on the question of data interpolation since the lacks of satellite data and the distortion of visualization. Interpolations to raster data aim to low resolution, while interpolations to scattered data aim to lacks of satellite data. This thesis will take a further research of the algorithm analysis on Nearest Neighbor Method, Linear Interpolation, Lagrange Interpolation, Spline Interpolation and Kriging Interpolation. At the end of this thesis will put all the models into a platform so that scientists can do cross analysis of space radiation effects.This thesis has great application value, scientists can use it in space radiation features analysis, physical laws study as well. Scientists can try different input parameters to validate physical models. When scientists combining the use of this platform with the satellite maintaining. We applied mathematical and geostatistical interpolations to space visualization, and the results told us that it’s entirely feasible, it’s a bold trial. This may raise impact for the study of interdisciplinary.