Missouri Vegetation Density Estimationfeatured

We developed a software for vegetation density estimation, which automatically detects obscured region of reference object (typically a blackboard) covered by grass under different illumination conditions in the wild. Reference object and grass are firstly distinguished using a LBP+SVM classifier. And then a K-Means color model is used to refine the prediction at pixel level. This work is also a collaboration with Missouri Department of Conservation.