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"Relative CIR": an image enhancement and visualization technique

Pecora 12 Symposium

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Abstract

Many techniques exist to spectrally and spatially enhance digital multispectral scanner data. One technique enhances an image while keeping the colors as they would appear in a color-infrared (CIR) image. This "relative CIR" technique generates an image that is both spectrally and spatially enhanced, while displaying a maximum range of colors. The technique enables an interpreter to visualize either spectral or land cover classes by their relative CIR characteristics. A relative CIR image is generated by developed spectral statistics for each class in the classifications and then, using a nonparametric approach for spectral enhancement, the means of the classes for each band are ranked. A 3 by 3 pixel smoothing filter is applied to the classification for spatial enhancement and the classes are mapped to the representative rank for each band. Practical applications of the technique include displaying an image classification product as a CIR image that was not derived directly from a spectral image, visualizing how a land cover classification would look as a CIR image, and displaying a spectral classification or intermediate product that will be used to label spectral classes.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
"Relative CIR": an image enhancement and visualization technique
Series title:
Pecora 12 Symposium
Year Published:
1993
Language:
English
Publisher:
American Society for Photogrammetry and Remote Sensing
Publisher location:
Bethesda, MD
Description:
1 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
493
Last page:
493
Number of Pages:
1