Name
Title | ||
|---|---|---|
Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. |
Abstract | ||
|---|---|---|
Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-08795-5_11 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Temporal Patterns,Data Mining and Remote Sensing | Graph,Satellite,Habitat,Computer science,Remote sensing,Agriculture | Conference |
Volume | ISSN | Citations |
442 | 1865-0929 | 1 |
PageRank | References | Authors |
0.37 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Guttler | 1 | 3 | 1.06 |
| Dino Ienco | 2 | 295 | 42.01 |
| Maguelonne Teisseire | 3 | 557 | 129.00 |
| Jordi Nin | 4 | 311 | 26.53 |
| Pascal Poncelet | 5 | 768 | 126.47 |