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| Title: | DEVELOPMENT OF REMOTELY SENSED SPATIAL DATA ANALYSIS AND MANAGEMENT SOFTWARE SYSTEM (RSSDAMSS) | |
| DOI No: | 10.1142/9781860948534_0065 | |
| Source: | INNOVATIVE APPLICATIONS OF INFORMATION TECHNOLOGY FOR THE DEVELOPING WORLD (pp 412-422) | |
| Author(s): | N. BADAL
Computer Sc. & Engineering Department, Kamla Nehru Institute of Technology, KNIT, Sultanpuur, UP, India G. K. SHARMA Department of Computer Sc. & Engineering, Indian Institute of Information Technology and Managemen, IIITM, Gwalior, M.P, India KRISHNA KANT Department of Computer Sc. & Engineering, Motilal Nehru national Institute of Technology, MNNIT, Allahabad, UP, India |
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| Abstract: | Advances in geographical information systems (GIS) and supporting data collection technology have resulted in the rapid collection of a huge amount of spatial data. However, existing data mining techniques are not able to extract knowledge in a better manner from high dimensional remotely sensed data in large spatial databases, while data analysis in typical knowledge discovery software is limited to non-spatial data. Therefore, the aim of the remotely sensed spatial data analysis and management software system (RSSDAMSS) presented in this article, which is an AM/FM/GIS based multiuser software package and that is able to provide flexible machine learning tools for supporting an interactive knowledge discovery process in large centralized or distributed spatial databases. RSSDAMSS offers an integrated tool for rapid software development for data analysis professionals, researchers as well as systematic experimentation by spatial domain experts without prior training in machine learning or statistics. When the data are physically dispersed over multiple geographic locations, the RSSDAMSS system allows data analysis to be conducted at distributed sites by exchanging control and knowledge rather than raw data through slow network connections. | |
| Full Text: | View full text in PDF format (1184KB) | |
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