Protic, D., Kilibarda, M., Nestorov, I., 2012, Super resolution mapping of agricultural parcel boundaries based on localized partial unmixing, Geodetski list, 2012-21 (u štampi)
Abstract. Operational mapping of crop/agricultural parcel boundaries is a challenging task. It should be efficient and inexpensive process resulting with data useful for wide range of purposes. Hard classification of medium resolution (>15m, <30m) remote sensing data could be a solution but the spatial resolution of the imagery is not sufficient for many applications. In this paper a method for soft classification of medium remote sensing data and super-resolution mapping of crop boundaries is presented. The method is developed based on localized partial unmixing with estimating both target and background end-member spectra. The output was subjected to pixel swapping as super resolution mapping technique. Testing is done on real Landsat ETM+ imagery. The method is evaluated quantitatively and the results show significant increase of accuracy when compared to mapping from original remote sensing data.