Paper
4 November 2004 Low-cost mid-wave IR microsatellite imager concept based on uncooled technology
Brian D. Oelrich, Arnaud Crastes, Craig I. Underwood, Stephen Mackin
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Abstract
A new class of low-cost mid-wave infrared (MWIR) Earth observation (EO) data will become available with the flight of miniature MWIR EO instruments in micro-satellite constellations. Due to the frequent ground repeat times inherent in constellations, this data set would provide a unique alternative for those wishing to analyse trends or rapidly detect anomalous changes in the MWIR characteristics of the Earth's surface (e.g. fire detection) or atmosphere. To date, the MWIR imagers have been based on highly responsive cooled detector technology, which traditionally has been the only real option for collecting useful data in this waveband from space. However, state-of-the art microbolometers, adapted from their original design for operation in the LWIR, are thought to be a potential alternative for low-cost MWIR constellations. Following the laboratory evaluation of a modified microbolometer arrays in the MWIR, a low-mass instrument concept was designed and evaluated for a variety of candidate MWIR mission areas. If implemented, the imager concept would complement a larger imaging suite (visible, near IR, and long-wave IR) on a sub-100kg Surrey Space Technology Ltd. (SSTL) micro-satellite and open up several new potential mission areas for the SSTL-engineered Disaster Monitoring Constellation.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian D. Oelrich, Arnaud Crastes, Craig I. Underwood, and Stephen Mackin "Low-cost mid-wave IR microsatellite imager concept based on uncooled technology", Proc. SPIE 5570, Sensors, Systems, and Next-Generation Satellites VIII, (4 November 2004); https://doi.org/10.1117/12.565554
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Cited by 6 scholarly publications.
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KEYWORDS
Mid-IR

Imaging systems

Sensors

Long wavelength infrared

Microbolometers

Satellites

Signal to noise ratio

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