Title :
Standard format design and input realization of measured spectral data in the spectral knowledge base
Author :
Ying-Ying, Fu ; Su-Hong, Liu ; Sheng-Quan, Yu ; Zhen-Kun, Tian
Author_Institution :
Dept. of Math., Beijing Normal Univ.
Abstract :
The spectral knowledge base (spectrum library) has been designed to contain over 10,000 pieces of measured spectral data, including spectral data of reflectivity and a large amount of metadata which is composed of data explanation and self-contained parameters. The standardization of the spectral data format based on the storage organization of background database, and the quickness of the data population become critical in developing applications, such as data browse, data query and the model simulating, etc., which are all based on this mass database. In an attempt to better represent the logical relationship among metadata and to simplify the edit and modification of data files, a 3-tier file system built up by several text files with frame description is defined in this paper as the standard data after the study on XML-based expression of geo-spatial metadata. Those files vary according to the types of the ground objects and fulfill two scales of matching among spectral data perfectly. Based on the concept of Windows DNA and techniques of look-up table, COM and ASP, a mechanism is proposed here to check the data format and upload the data into the database in batch, which is implemented primarily in B/S mode with the aid by executing the applications at the client side. For the sake of the integrity about the data population solution, it is also illustrated in this paper about the data batch processing
Keywords :
XML; batch processing (computers); data mining; distributed object management; geophysics computing; meta data; table lookup; 3-tier file system; ASP; Active Server Page; B mode; Browser mode; COM; Component Object Model; S mode; Server mode; Windows DNA; Windows Distributed Internet Application Architecture; XML; background database; data batch processing; data browse; data explanation parameter; data files; data integrity; data population; data query; data storage organization; geospatial metadata; logical relationship; lookup table; reflectivity; self contained parameter; spectral data input realization; spectral data matching; spectral data standard format design; spectral knowledge base; spectrum library; standardization; text files; Crops; Databases; Geographic Information Systems; Libraries; Mathematics; Measurement standards; Reflectivity; Remote sensing; Table lookup; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370136