Paper
8 August 1980 Microprocessor-Based Airborne Spectrometer System
John C. Kates Jr.
Author Affiliations +
Proceedings Volume 0230, Minicomputers and Microprocessors in Optical Systems; (1980) https://doi.org/10.1117/12.958810
Event: 1980 Technical Symposium East, 1980, Washington, D.C., United States
Abstract
A system for airborne infrared spectral signature measurements has been developed using a Fourier transform spectrometer interfaced to a microprocessor data acquisition, control and display system. The microprocessor is a DEC LSI-ll with 20KW RAM, 4KW EPROM, DMA spectrometer interface, digital magnetic tape, and dot-matrix video graphic display. A real-time executive tailored to the requirements and resources available allows concurrent data acquisition, recording, reduction and display. Using multiple buffers, acquisition of spectrometer data via DMA is overlapped with magnetic tape output. A background task selects the most recent spectrometer data and processes it using an FFT into a raw spectrum. A reference background spectrum is subtracted to isolate the data component, then a reference instrument response function is applied to obtain a calibrated absolute irradiance spectrum. The irradiance spectrum is displayed on the video graphic display and mixed with boresight camera video to show the target spectrum superimposed on the target image. Extensive selftest facilities are incorporated for testing all system components and compatibility with data reduction systems. System calibration is supported by selection of reference blackbody temperatures, apertures, and distances. The instrument response curve obtained during calibration is displayed for verification of correct spectrometer operation or diagnosis of faults.
© (1980) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John C. Kates Jr. "Microprocessor-Based Airborne Spectrometer System", Proc. SPIE 0230, Minicomputers and Microprocessors in Optical Systems, (8 August 1980); https://doi.org/10.1117/12.958810
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KEYWORDS
Sensors

Video

Spectroscopy

Data acquisition

Diagnostics

Computing systems

Calibration

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