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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhipeng Wang Tyo, J.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Opt. Sci., Univ. of Arizona, Tucson, AZ (Zhipeng Wang; Tyo, J.S.) |
| Abstract | Significant advances have been made in developing normal-incidence sensitive quantum-dot infrared photodetectors (QDIPs) that can exhibit spectral responses tunable through the bias voltages applied. This tunability makes it possible to build spectral imaging system in IR range based on single QDIP, without any spectral dispersive device upfront. To achieve such adaptivity, algorithms must be developed to find the optimized operation bias voltages set which maximizes the spectral context inside the output data while reducing the data redundancy. In this paper, we create a new, general defination of signal-to-noise ratio (SNR) in spectral space, based on a geometrical spectral imaging model recently developed. With the new SNR definition, a scene-independent set of bias voltages is selected to maximize the average SNR of the sensor. Then, some bias voltages can be added or removed. This dynamic optimization process is performed throughout the imaging process so that the balance between data information and data volume is always achieved. |
| File Size | 390091 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4779788 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal to noise ratio Voltage Optical imaging Solid modeling Detectors Optical sensors Remote sensing Layout Infrared sensors Quantum dots image processing remote sensing adaptive signal detection spectral analysis |
| Content Type | Text |
| Resource Type | Article |
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