Vegetation Recognition Based on UAV Image Color Index

Unmanned aerial vehicles UAV in the visible plays an important role in monitoring agricultural environment, besides their low cost and flexibility, they are used to obtain high-resolution images and extract vegetation information. Numerous color indices are available to help monitoring vegetation, this paper selects four color indices based on the RGB color: Normalized green red difference index NGRDI, Excess green index ExG, Excess Green minus Excess Red ExG-ExR, and Green leaf index GLI. The results of this study indicate that the four color indices can quickly and accurately identify the vegetation coverage area and the recognition accuracy is above 91%. Among them, ExG-ExR index is superior to other indices, it is more stable with high recognition accuracy.