Name
Abstract | ||
|---|---|---|
D and phase . The new decomposition uses the target helicity s D ) m W to assess the symmetric nature of targets(3). In this paper, the Touzi scattering vector and the Cloude-Pottier decomposition parameters are compared for land cover characterization and classification. ALOS/PALSAR polarimetric data collected over the Weinan region of Shanxi Province in China are used. The potential of the two decompositions parameters for discrimination and classification of land cover targets (such as forest, crops, urban, bare soil, road, water and fish pond) are assessed and compared. The conventional maximum likelihood supervised classification method(4) are also tested to assess target information that may not be retrieved with the two target scattering decompositions. And the classification results are validated using TM image of Weinan area. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4779963 | IGARSS |
Keywords | Field | DocType |
alos/palsar,classification,land cover characterization,target scattering vector decomposition,entropy,china,data mining,backscatter,earth,maximum likelihood,testing,scattering,layout,matrix decomposition,remote sensing,data collection,scattering parameters,image classification,satellites,crops,geoscience,meteorology | Polarimetry,Computer science,Remote sensing,Contextual image classification,Land cover,Support vector machine classification | Conference |
Citations | PageRank | References |
1 | 0.37 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinwu Li | 1 | 110 | 26.57 |
| Ridha Touzi | 2 | 214 | 25.43 |
| Huadong Guo | 3 | 459 | 84.66 |