Abstract: A growing area of interest in the sensor community is the use of measurements made at multiple wavebands to increase the detection and acquisition of low contrast targets. Hyperspectral imagery involves large amounts of high resolution spatial and spectral data which must be processed in a timely manner to assist the decision maker. A lot of this data comes in the form of imagery at different wavebands; an infrared camera, synthetic aperture radar, passive millimeter wave camera or some other sensor. This paper presents a new approach for combining hyperspectral imagery in an efficient manner to significantly reduce the burden on the human or computer decision maker. This technique is based on modern image processing algorithms to create a color image where color is directly related to waveband. Multiple two dimensional images are combined into a single three dimensional image which can be processed in a single processor instead of multiple processors reducing overall sensor cost and complexity. The proposed technique has application to the commercial digital camera market in addition to the military market.
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Pages: |
8 |
| Report Date: |
1998 |
| Report Number: |
A594653 |
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