NDVI-based vigour maps production using automatic detection of vine rows in ultra-high resolution aerial images

In this paper, a new method to produce accurate vigour maps using a vine row automatic detection process is presented. It has been applied to 5 cm ground resolution multispectral aerial images (NIR, red, green). NDVI index has been calculated for pre-processed images, obtained by the selection of pixels that represent vine rows, masking non-vine vegetation and other background elements. e adopted pre-processing settlement is constituted by three steps based on dynamic segmentation, Hough Space Clustering and Total Least Squares techniques. e adaptive features of the algorithm make it robust in the presence of inter-row grassing, tree shadows and non-uniform image illumination.