Surface orientation invariant matching of spectral signatures

Rafael Wiemker; Thomas Hepp

doi:10.1117/12.182878

17 August 1994 Surface orientation invariant matching of spectral signatures

Rafael Wiemker, Thomas Hepp

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182878
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

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.

Citation Download Citation

Rafael Wiemker and Thomas Hepp "Surface orientation invariant matching of spectral signatures", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182878

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available