Barsi, ÁrpádGáspár, KatalinSzepessy, Zsuzsanna2021-06-282021-06-282010-10-16Acta Geographica Debrecina Landscape & Environment series, Vol. 4 No. 1 (2010) , 37-441789-4921https://hdl.handle.net/2437/317393The current paper discusses the importance of the modern high resolution satellite imagery. The acquired high amount of data must be processed by an efficient way, where the used Kohonen-type self-organizing map has been proven as a suitable tool. The paper gives an introduction to this interesting method. The tests have shown that the multispectral image information can be taken after a resampling step as neural network inputs, and then the derived network weights are able to evaluate the whole image with acceptable thematic accuracy.application/pdfartificial neural networkclusteringhigh resolution imageryfolyóiratcikkOpen AccessActa Geographica Debrecina Landscape & Environment series14Landsc. environ.1789-7556