Name
Abstract | ||
|---|---|---|
This paper addresses the processing of temporal series of Polarimetric Synthetic Aperture Radar (PolSAR) data for urban areas employing the Binary Partition Tree (BPT) representation. Instead of working directly with the original pixels of the data, a hierarchical region-based representation is employed. Thanks to the multi-scale properties of the BPT, the data may be decomposed into a set of homogeneous regions corresponding to the different observed temporal evolutions, while preserving the contours and small details of the scene. Then, this information is employed in order to detect and interpret the changes over the urban areas. The technique is evaluated with RADARSAT-2 PolSAR time series data over Barcelona, Spain. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/Multi-Temp.2015.7245795 | 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp) |
Keywords | Field | DocType |
binary partition trees,temporal polarimetric synthetic aperture radar series,BPT,homogeneous regions,temporal evolutions,RADARSAT-2 PolSAR time series data,Barcelona,Spain,temporal evolutions | Time series,Radar imaging,Interferometric synthetic aperture radar,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Pixel,Partition (number theory),Geography,Binary number | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| alberto alonsogonzalez | 1 | 0 | 0.34 |
| Carlos López-Martínez | 2 | 0 | 2.03 |
| Irena Hajnsek | 3 | 755 | 108.31 |