Characterization of Unstable Blinking Pixels in the AisaOWL Thermal Hyperspectral Imager

Harris, L, Llewellyn, GM, Holma, H, Warren, MA and Clewley, D 2017 Characterization of Unstable Blinking Pixels in the AisaOWL Thermal Hyperspectral Imager. IEEE Transactions on Geoscience and Remote Sensing, 56 (3). 1695-1703.

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The AisaOWL thermal hyperspectral instrument, manufactured by Specim, is a relatively new push-broom sensor well suited to airborne environmental surveys. The sensor covers the 7.6-12.6 μm part of the long-wave infrared region with 102 continuous bands, and is capable of imaging in low-light conditions. The detector array is a mercury cadmium telluride (MCT) semiconductor, which has an inherent randomly varying dark current for random pixels. This manifests in the raw data as a pixel switching between different intensity levels. These pixels are termed ``blinkers' by the manufacturer. For each data acquisition, the pixels need to be tested for blinking behavior as different pixels are affected during each acquisition. However, little is known about the number of blink events, the duration of frames, or the optimal length of data acquisition. This paper presents the characterization of the blinking nature of pixels in the MCT detector array to provide guidance on data acquisition and processing. This paper finds that blinking behavior is not completely random, with some pixels more prone to blinking behavior than others. Most blinking pixels have only a few short blinks; therefore, there is still a considerable amount of good data in a blinking pixel.

Item Type: Publication - Article
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Additional Keywords: Calibration;Data acquisition;Detectors;Histograms;Hyperspectral imaging;Tools;AisaOwl;calibration;hyperspectral;thermal
Subjects: Earth Observation - Remote Sensing
Divisions: Plymouth Marine Laboratory > National Capability categories > Airborne Remote Sensing Facility
Depositing User: Mark Warren
Date made live: 01 May 2018 12:50
Last Modified: 25 Apr 2020 09:58

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