Name
Title | ||
|---|---|---|
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas. |
Abstract | ||
|---|---|---|
•A novel crop mapping method in heterogeneous areas was proposed.•Pixels in the same polygons were well classified using an object-based method.•Linear objects were well classified to non-cultivated land.•Using the proposed method, crops can be mapped with an accuracy higher than 95%. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compag.2017.05.003 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
AVHRR,MODIS,SAM,GPS,GCPs,GF-1,PMS,FLAASH,USGS,ROIs | Arable land,Polygon,Vegetation,Remote sensing,Spectral resolution,Engineering,Image resolution | Journal |
Volume | ISSN | Citations |
139 | 0168-1699 | 4 |
PageRank | References | Authors |
0.54 | 22 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingquan Wu | 1 | 169 | 18.49 |
| Wenjiang Huang | 2 | 179 | 51.84 |
| Zheng Niu | 3 | 144 | 22.34 |
| Yu Wang | 4 | 4 | 0.54 |
| Changyao Wang | 5 | 90 | 8.63 |
| wang li | 6 | 46 | 8.53 |
| pengyu hao | 7 | 60 | 3.75 |
| Bo Yu | 8 | 4 | 0.54 |