Figure 6From: Neural network-based clustering for agriculture managementAn example anomaly detection in LPIS for a selected region in Zone1. The LPIS is overlaid on the figures: red lines show the boundaries of the LPIS physical blocks whereas cyan lines are the boundaries of eligible/ineligible regions with cyan dotted areas are ineligible (a) RapidEye false color composite (RGB bands are NIR-Rededge- Red bands, respectively) (b) The resulting LPIS mask obtained by the proposed SC_CONN method. Red/blue regions show possible anomalies in the LPIS (c) VHR orthophoto with 0.5 m spatial resolution, acquired in 2010 by the National Administration in Hungary for the LPIS update with visual evaluation (d) The same LPIS mask in (b) but with the LPIS updated by computer aided photo-interpretation. A, B, and D are real anomalies with respect to the land cover (D is made ineligible according to additional ancillary data), where C (maize parcels) is a false-alarm because of the spectral resemblance due to the 5 m spatial resolution.Back to article page