Influence of possible ways of remote sensing data and digital data nonlinear transformation on the results of unsupervised classification

Oleh Lychak; Mike Jaremy

doi:10.1117/12.411593

28 December 2000 Influence of possible ways of remote sensing data and digital data nonlinear transformation on the results of unsupervised classification

Oleh Lychak, Mike Jaremy

Author Affiliations +

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411593
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

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Oleh Lychak and Mike Jaremy "Influence of possible ways of remote sensing data and digital data nonlinear transformation on the results of unsupervised classification", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411593

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