As the one of newest area of Remote Sensing technology, the hyperspectral remote sensing is used widely and widely，correspondingly the data are richer and richer. With the quantitative remote sensing is more concerned, a strong, powerful, convenient，expandable database system, which stored hyperspectral data and is combined with application function is urgent desired by the related areas. At the same time, the hyperspectral data have their own characteristic. The numbers of wavelength may be varied with the different hyperspectral equipments. One hyperspectral object can be responding to many wavelength data, image data, and many other properties. The quantities of them are great and the relation of them is complexity. And the unique characteristic of hyperspectral data is the united with the image and spectrum. Therefore the spectral database system that we have can not meet the requirements of all these characteristic.
Summarizing the results of forerunners, with the research of the status of spectral database now, according to the demands of the hyperspectral data application, this article will first define the concept of Hyperspectral Database in the world. It not only inherits the properties of spectral database system which can store and display the spectrum and other corresponding properties of objects, but also designs the data structure, stores and displays for hyperspectral data. It reflects the characteristic of hyperspectral data from the database area, makes the data structure more compact, combined the image and spectrum, and prepares for the application of data mining.
Hyperspectral Database System mainly involves several subsystems, that are hyperspectral image data sub-database, spectral assistant sub-database, hyperspectral data analyzing sub-system, hyperspectral data-warehouse with data mining, and foregrounding system. A Hyperspectral Database System prototype system was completed accompanied with these designs in this article. It includes: Spectral database based in the internet: it comes from the original spectral database system. It is advanced for it is built in the large ORACLE database platform, for it is accompanied by the data analyzing sub-system and for it is published in the internet. It will act as the assistant sub-database for the whole Hyperspectracl Database Systelm; Hyperspectral data analyzing sub-sytem based in the internet: It has basic hyperspectral data analyzing function and is built for expanding the database system applications. It will act on the varieties data of database system; Hyperspectral image data sub-database: it is the soul of the whole Hyperspectral Database system. It will realize the unique characteristic of hyperspectral data, which unites the image and spectrum in the database area. The spectrum can be extract from the image by database. This database, which combines the spatial and spectral information, will play an important role in the future; Foregrounding system: in the times of IT, using internet is the trend. Develop the foregrounding system in the internet will promote the communication of hyperspectral data and exploit the hyperspectal application. This paper will take the concept of Hyperspectral Databse System as the core, state the technology routes, basic frames, special problem in processing, how to solve them and the results in detail and introduce the comparely whole process of building a Hyperspectral Database System prototype.
At the same time, in the process of designing, solving problems and programming, this article will summarize and provide the data storing standard rules about data structure. It will also provide comparison of several data storage models under the ORACLE database platform, two of that were accomplished by this system, and state their advantages, shortcomings and choosing condition. This job will make a good technology theory basis for development of this kind system.
Finally the article makes an initial discussion of applying the data-warehouse and data mining technology in the hyperspectral data, which makes a theory discussion for integrating the data-warehouse in the Hyperspectral Database System.