Cost-Effective Raster Image Processing for Geoecological Analysis using ISOCLUST Classifier: a Case Study of Estonian Landscapes

Polina Lemenkova (1)

1 OUC - Ocean University of China

Current presentation demonstrates environmental analysis of the landscapes in Estonia, Eastern Europe. Methods include the use of Arc GIS 10.0 and IDRISI GIS Andes 15.0 for image processing. Research aim is o detect land cover changes using method of image classification 'ISOCLUST'. The raster processing GIS approach and classification was applied towards Landsat TM two images. The ISOCLUST is an unsupervised classification method in IDRISI GIS performs the most of the image processing workflow in semi-automatically regime. The study also reports photos of the Estonian landscapes. Results include 16 land cover types typical for the study area classified and visualized on the images. In 2006 the urban area became larger than in 1992 (land cover class "3" on the histogram. This can be explained by various reasons. Changes in land cover types in selected Estonian landscapes are shown on the statistical histograms on 1992 and 2006.

Mots clés: Image processing Digital image processing; Image processing Image recognition; Image processing Pattern recognition; Image processing algorithm; Image processing and computer vision; Image processing and analysis; Image processing methods; Image processing applications

Domaines: Sciences de l'environnement; Biodiversité et Ecologie; Synthèse d'image et réalité virtuelle [cs.GR]; Interface homme-machine [cs.HC]; Ordinateur et société [cs.CY]; Apprentissage [cs.LG]; Modélisation et simulation; Traitement des images [eess.IV]; Environnement et Société; Milieux et Changements globaux; Ingénierie de l'environnement; Informatique [cs]; Vision par ordinateur et reconnaissance de formes [cs.CV]

Polina Lemenkova. Cost-Effective Raster Image Processing for Geoecological Analysis using ISOCLUST Classifier: a Case Study of Estonian Landscapes. Modern Problems of Geoecology and Landscapes Studies, Belarus State University (BSU), Oct 2014, Minsk, Belarus. pp.24, ⟨10.13140/RG.2.2.13453.49124⟩. ⟨hal-02425747⟩