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Proceedings Paper

Influence of possible ways of remote sensing data and digital data nonlinear transformation on the results of unsupervised classification
Author(s): Oleh Lychak; Mike Jaremy
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Paper Abstract

Results of unsupervised classification of composite two- layered image are presented. Image consists of first layer TNDVI data, calculated on the base of LANDSAT-TM4 image and second layer DEM raster, created on the base of digital vector map. Different attempts to layers co-registering were tested. Raster type TNDVI image nonlinear polynomial transformation to digital map projection; nonlinear transformation of coordinates of digital map point coverage to LANDSAT-TM4 image coordinate system and then DEM raster creating; creating raster DEM on the base of point elevation data and then nonlinear transformation of DEM to LANDSAT-TM4 image coordinate system. Unexpected essentially big difference in clusters shape and position during unsupervised classification is showed and analyzed.

Paper Details

Date Published: 28 December 2000
PDF: 11 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411593
Show Author Affiliations
Oleh Lychak, Karpenko Physico-Mechanical Institute (Ukraine)
Mike Jaremy, State Venture "Zahidgeodezkartographia" (Ukraine)


Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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