11:05 AM - 11:20 AM
[MGI34-08] Development of a Data Analysis Environment for Small Irregular-Shaped Bodies Centered on a 3D-GIS
Keywords:asteroid, GIS, image DB, gravitation field, GPGPU
The geographical information system (GIS) is a powerful tool integrate map data in which observed values are associated with particular locations on the surface of a target body. The GIS and GIS-oriented tools are now widely used in various research fields that study the Earth and other large bodies such as the Moon and Mars. However, datasets of irregular-shaped bodies are hard to handle with usual GIS software. They support only spherical bodies with geographical coordinate system (by longitude and latitude), which is not the unique identifier on the irregular-shaped bodies.
We proposed a concept of 3D-GIS that uses 3D representation of the body shapes to solve this problem. The shapes of an irregular-shaped bodies is represented by a 3D polygon model and the 3D model is visualized as 3D-CG.
AiGIS is a implementation of this 3D-GIS concept. can display a polygon-based 3D shape model of the target body, and users can manipulate viewing conditions and a lighting condition by mouse operations. Map data and graph map data on AiGIS are a set of data that are associated with polygons consisting of the shape model. Polygons of the shape model are displayed with a color that is assigned according to a value in the selected map data with the look-up table.
We attempt to construct an data visualization and analysis environment based on AiGIS for small body exploration data. The pixel DB, developed as a piece of the environment, can store individual pixel values of images with observational conditions such as incidence angle, emission angle, and phase angle. This DB enable us to make analysis using pixel values throughout all available images. Estimation of the parameters of phase function on the surface at each local regions is an example of application of the DB. Results of such analysis can also be visualize on the 3D-GIS. We also develop a GPGPU-based code to compute the gravitation field on and around an irregular-shaped body. Computation of the gravitation field of an irregular-shaped object requires much time or CPU resource. The GPGPU-based code will greatly reduce computation time by parallel processing by GPU.
We will present not current status of AiGIS, pixel DB, and GPGPU-based gravitation field calculation code, but also future prospects of the analysis environment or small body exploration data.
We proposed a concept of 3D-GIS that uses 3D representation of the body shapes to solve this problem. The shapes of an irregular-shaped bodies is represented by a 3D polygon model and the 3D model is visualized as 3D-CG.
AiGIS is a implementation of this 3D-GIS concept. can display a polygon-based 3D shape model of the target body, and users can manipulate viewing conditions and a lighting condition by mouse operations. Map data and graph map data on AiGIS are a set of data that are associated with polygons consisting of the shape model. Polygons of the shape model are displayed with a color that is assigned according to a value in the selected map data with the look-up table.
We attempt to construct an data visualization and analysis environment based on AiGIS for small body exploration data. The pixel DB, developed as a piece of the environment, can store individual pixel values of images with observational conditions such as incidence angle, emission angle, and phase angle. This DB enable us to make analysis using pixel values throughout all available images. Estimation of the parameters of phase function on the surface at each local regions is an example of application of the DB. Results of such analysis can also be visualize on the 3D-GIS. We also develop a GPGPU-based code to compute the gravitation field on and around an irregular-shaped body. Computation of the gravitation field of an irregular-shaped object requires much time or CPU resource. The GPGPU-based code will greatly reduce computation time by parallel processing by GPU.
We will present not current status of AiGIS, pixel DB, and GPGPU-based gravitation field calculation code, but also future prospects of the analysis environment or small body exploration data.