Name
Abstract | ||
|---|---|---|
Multi-scale spatial context which integrates spatial metrics and textural metrics is used to characterize land-use parcel and a hybrid land-use mapping approach is proposed in this paper. In terms of land-use characterization, the contributions of textural and spatial metrics are evaluated quantitatively. In terms of land-use categorization, a hybrid land-use classification scheme which combines Pairwise Decision Tree based Support Vector Machine (PDTSVM) and rule based decision tree is designed to classify parcels into construction, cultivated and uncultivated agricultural parcels. Experiment show that applying the presented technique can facilitate land-use mapping. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729194 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Land use, spatial context, remote sensing | Data mining,Categorization,Decision tree,Pairwise comparison,Rule-based system,Computer science,Support vector machine,Remote sensing,Classification scheme,Spatial contextual awareness,Land use mapping | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
6 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingbo Chen | 1 | 19 | 6.15 |
| Hichem Sahli | 2 | 475 | 65.19 |
| Jiansheng Chen | 3 | 0 | 0.68 |
| Chengyi Wang | 4 | 19 | 7.82 |
| Dong-xu He | 5 | 0 | 1.35 |
| Anzhi Yue | 6 | 1 | 2.38 |