Computer Vision, Graphics, and Image Processing
Digital Picture Processing
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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The purpose of this work is to localise and characterise missing plants on very high resolution (VHR) aerial images of agricultural parcels, in the case of discontinuous crops like wine and olive tree, which are planted according to a squared-grid pattern. It aims to establish an assisted, image processing system for remote sensed images, allowing the inventory the missing or withering plants, and the monitoring of their evolution during time. The global approach considers the planted parcel as a topological graph of vertices, whose reciprocal location conforms to a set of geometrical rules about orientation and length. The proposed system initiates the graph from the original image; then it adds missing vertices and refines its knowledge of the spatial pattern on an iterative basis. Quality indicators are assigned at each added vertex, and several stopping criteria are estimated for each iteration, permitting an automated use of the algorithm. Test cases have been conducted on two data sets of three parcels each: olive groves and goblet vineyards. The results are compared to validation data. They show an efficient reconstruction of the geometry and satisfactory omission-commission errors; they allow drawing up a typology of the major errors, and propose calibration parameters based on a sensitivity analysis. The main improvements include essentially the preprocessing, filtering step of the initial image. The process is being used for Languedocian vineyards (France), and may be potentially usable for other problematic with the same kind of spatial patterns.