Paper
28 October 1985 Modelling Of Linear-Scan Electro-Optical Sensors
Howard M. Robbins
Author Affiliations +
Proceedings Volume 0550, Sensor Design Using Computer Tools II; (1985) https://doi.org/10.1117/12.948842
Event: 1985 Technical Symposium East, 1985, Arlington, United States
Abstract
Two classes of satelliteborne EO sensors have been extensively studied: staring sensors, and sensors that scan (slowly) by rotation of the entire satellite. Linear scanners are a less-studied but important intermediate type, featuring 3-axis stabilization of all or most of the satellite, relatively rapid scanning via a scan mirror, and TDI (time-delayed integration) for high sensitivity. Advantages include efficient use of solar arrays and heat-radiators, easy cross-link to other satellites, and much easier producibility than a staring sensor of comparable resolution. An existing sensor-simulation program was modified to simulate linear scanners (in addition to its previous simulation options), and allow free choice of key parameters such as scan period, scan orientation, threshold, NET, optical blur, etc. Other parameters are derived from these in a consistent way. Existing programs for simulating the processing of sensor data were modified to process the outputs of the linearscan simulator. End-to-end simulations were successfully performed for targets, noise, and synthetic background (derived from real scenes). The assumed form of onboard signal processing is a bandpass analog filter per TDI channel, followed by sampling, A/D conversion, and peak-detection. Alternates will be developed as future options.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Howard M. Robbins "Modelling Of Linear-Scan Electro-Optical Sensors", Proc. SPIE 0550, Sensor Design Using Computer Tools II, (28 October 1985); https://doi.org/10.1117/12.948842
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KEYWORDS
Sensors

Convolution

Satellites

Filtering (signal processing)

Scanners

Electro optical sensors

Signal processing

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