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Proceedings Paper

Surface orientation invariant matching of spectral signatures
Author(s): Rafael Wiemker; Thomas Hepp
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Paper Abstract

For monitoring purposes, change detection, and segmentation of remotely sensed multispectral images it is necessary to normalize the images in order to yield spectral signatures independent of illumination, atmospheric conditions, and surface orientations. For small scale artificial objects in high resolution images however, the surface orientation is not known, and hence comparison of spectral signatures is prone to error due to varying illumination. We assess the relative contribution of direct versus diffuse illumination, and present a spectral distance measure and a spectral transformation which provide color constancy and are independent of the degree of direct versus diffuse illumination and thus surface orientation.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182878
Show Author Affiliations
Rafael Wiemker, Univ. Hamburg (Germany)
Thomas Hepp, Univ. Hamburg (Germany)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision

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