In remote chemical detection InfRared (IR) sensing generally provides a valuable method for the detection and identification of gaseous pollutants. An IR remote chemical sensor consists of a sensor and a signal processor that operate in parallel to detect the presence of a pollutant. The sensor detects the signatures of all chemical vapors and backgrounds, while the signal processor discriminates between the pollutant signatures and the background emissions. Therefore, the performance of a chemical sensor relies heavily on the design of optical detection statistics implemented by the sensor and detection algorithms employed by the signal processor. This research was initiated and supported by U.S. Army Edgewood Research Development and Engineering Center (ERDEC) to increase the capability of a chemical sensor by developing more powerful and competing detection and signal processing algorithms than classical algorithms currently being used by ERDEC. An immediate application of this research is to detect hazardous air pollutants and toxic gases for environmental gaseous pollution.
Ph.D. Dissertation
- M.L.G. Althouse, Vapor Cloud Detection in Multispectral Infrared Image Sequences Using Co-occurrence Matrix Methods, Ph.D. Dissertation, Department of Electrical Engineering, University of Maryland, Baltimore County, MD, August 1994.
Journal Publications
- M.L.G. Althouse and C.-I Chang, "Target detection in multispectral imagery using spectral co-occurrence matrix and entropy thresholding," Optical Engineering, vol. 34, pp. 2135-2148, July 1995.
- J.J. Pan and C.-I Chang, "Destriping of LANDSAT MSS Images by Filtering Techniques," Photogrammetric Engineering and Remote Sensing, vol. 58, no. 10, pp. 1417-1723, October 1992.
- M.L.G. Althouse and C.-I Chang, "Chemical vapor detection with a multispectral thermal imager," Optical Engineering, vol. 30, no. 11, pp. 1725-1733, July 1991. (invited paper)
- M.L.G. Althouse and C.-I Chang, "Target detection in multispectral imagery using spectral co-occurrence matrix and entropy thresholding," Optical Engineering, vol. 34, July, 1995, pp. 2135-2148.
Conference Publications
- C.-I Chang, J. Wang and M.L.G. Althouse, "Vapor cloud detection using relative entropy thresholding," Proc. Signal Processing, Sensor Fusion and Target Recognition III, SPIE, Orlando, Florida, April, 1994.
- M.L.G. Althouse, J. Wang, C.-I Chang and J. Harsanyi, "Target detection in multispectral images using relative entropy thresholding," International Symposium on Spectral Sensing Research '94 (ISSSR), San Diego, July 10-15, 1994.
- M.L.G. Althouse and C.-I Chang, "Chemical vapor detection and mapping with a multispectral FLIR," Instrumentation for Measurement and Imaging of Air Emissions, SPIE, 1994.
- C.-I Chang, J. Wang and M.L.G. Althouse, "Chemical vapor cloud detection using multistage entropic thresholding," Proc. Scientific Conference on Chemical Defense Research, ERDEC, Aberdeen Proving Ground, MD, November 16-19, 1993.
- M.L.G. Althouse, C.-I Chang and D. Smith, "Single frame multispectral thermal imagery," Conference Proceedings SPIE, vol. 1689, Orlando, Florida, April, 1992, pp. 20-24.
- M.L.G. Althouse and C.-I Chang, "Chemical vapor detection and mapping with a multi-spectral thermal imager, " Proc. 4th Int. Symp. Protection Against Chemical Warfare Agents, Stockholm, June 1992, pp. 195-200.
- M.L.G. Althouse and C.-I Chang, "Chemical vapor detection with multispectral thermal imagery," Proc. International Symposium on Spectral Sensing Research (ISSSR), Kauai, Hawaii, Sep. 15-20, 1992.
- C.-I Chang and Y. Cheng and M.L.G. Althouse, "Chemical vapor detection using multistage predictive coding," Proc. Scientific Conference on Chemical Defense Research, CRDEC, Aberdeen Proving Ground, MD, Nov. 17-20, 1992, pp. 909-915.
- M.L. Althouse and C.-I Chang, "Chemical vapor detection with a multispectral thermal imager," Optical Engineering, vol. 30, no. 11, July 1991, pp. 1725-1733.
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