SEQUENTIAL CLASSIFIER TRAINING FOR RICE MAPPING WITH MULTITEMPORAL REMOTE SENSING IMAGERY
Most traditional methods for rice mapping with remote sensing data are effective when they are applied to the initial growing stage of rice, as the practice of flooding during this period makes the spectral characteristics of rice fields more distinguishable. In this study, we propose a sequential...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-10-01
|
| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/161/2017/isprs-annals-IV-4-W2-161-2017.pdf |
