DISTSENSING: A NEW PLATFORM FOR TIME SERIES PROCESSING IN A DISTRIBUTED COMPUTING ENVIRONMENT
| Autor: | Sávio Salvarino Teles de Oliveira, Marcelo de Castro Cardoso, Wisllay dos Santos, Paulo Costa, Vagner José do Sacramento Rodrigues, Wellington Santos Martins |
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| Jazyk: | English<br />Portuguese |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Revista Brasileira de Cartografia, Vol 69, Iss 5 (2017) |
| Druh dokumentu: | article |
| ISSN: | 0560-4613 1808-0936 |
| Popis: | Time series analysis of remote sensing images are indispensable in identifying patterns, trends and changes, and allows the modeling and prediction of events on Earth's surface. For applications with large volumes of data, this analysis should be done in an automated way allowing spatio-temporal ï¬ ltering in the image database. This paper proposes a new platform, DistSensing, to process these analysis using spatial and relational distributed indices. The DistSensing platform had better performance than the solutions found in the literature when it is necessary run queries in the database using temporal and spatial ï¬ lters. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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