Rotation Adaptive Plot Extraction from UAV RGB Images

Unmanned Aerial Vehicles (UAVs) have the ability to acquire high resolution RGB images from plant fields. A field used for plant research is usually divided into smaller groups of plants known as "plots" to evaluate varieties or management practices. In this paper, we propose an optimization-based, rotation-adaptive approach for extracting plots in a UAV RGB orthomosaic image. From the experiments, our proposed method is robust against range/plot rotation and achieves higher segmentation accuracy compared with existing plot extraction approaches.