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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hoff, L.E. Chen, A.M. Yu, X. Winter, E.M. |
| Copyright Year | 1995 |
| Description | Author affiliation: Naval Command, Control & Ocean Surveillance Center, San Diego, CA, USA (Hoff, L.E.) |
| Abstract | Target classification using infrared data can be enhanced by using multiple spectral bands rather than a single band. Previously, algorithms have been developed and shown to provide detection enhancement with multiple bands. However, not all the bands produced by a hyperspectral infrared sensor are useful. This paper presents measures of performance that are useful for determining which bands to use and how many bands may be required to achieve reliable classification. These performance measures are applied to data collected by the spatially modulated inverse Fourier transform spectrometer (SMIFTS) hyperspectral infrared sensor to illustrate the advantages of increasing the number of spectral bands. |
| Starting Page | 837 |
| Ending Page | 841 |
| File Size | 488800 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818673702 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.1995.540818 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-10-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Infrared imaging Hyperspectral sensors Hyperspectral imaging Infrared sensors Infrared detectors Infrared spectra Sea measurements Signal to noise ratio Detection algorithms Vegetation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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