2 edition of Locating miners in smoke-filled mine openings with infrared imagers found in the catalog.
Locating miners in smoke-filled mine openings with infrared imagers
Raymond M. Stateham
Bibliography: p. 16.
|Statement||by Raymond M. Stateham and John A. Lombardi ; Denver Mining Research Center.|
|Series||Report of investigations - Bureau of Mines ; 8192|
|Contributions||Lombardi, John A., United States. Bureau of Mines|
|The Physical Object|
|Pagination||16 p. :|
|Number of Pages||16|
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Locating miners in smoke-filled mine openings with infrared imagers. Washington: Dept. of the Interior, Bureau of mines, (OCoLC) Online version: Stateham, Raymond M. Locating miners in smoke-filled mine openings with infrared imagers. Washington: Dept.
of the Interior, Bureau of mines, (OCoLC) Material Type. Additional Physical Format: Online version: Stateham, Raymond M. Using handheld infrared imagers to locate miners in smoke-filled mine openings. [Washington]: U.S.
Dept. of the Interior, Bureau of Mines. Infrared imagers operating in the 3- to 5- um spectral region have been evaluated for this purpose. A mine opening meters long was filled with smoke from burning coal, and two men, wearing breathing apparatuses, moved through the smoke to serve as targets.
The men were detected and identified at 80 meters. Search. Location of Repository Locating miners in smoke-filled mine openings with infrared imagers / By Raymond M. Stateham and John A. Lombardi. Abstract. Includes bibliographical references (p. 16).Mode of access: Internet Topics: Infrared detectors., Mine Author: Raymond M.
Stateham and John A. Lombardi. Pittsburgh Mining and Safety Research Center: Using handheld infrared imagers to locate miners in smoke-filled mine openings / ([Washington, D.C.]: U.S. Dept. of the Interior, Bureau of Mines ;, ), also by Raymond M. Stateham, Merle L. Bowser, United States. Bureau of Mines.
Dual-band infrared imaging applications: locating buried minefields, mapping sea ice and inspecting aging aircraft La Jolla, CA We discuss the use of dual-band infrared (DBIR) imaging for three quantitative NDE applications: locating buried surrogate mines, mapping sea ice thicknesses and inspecting subsurface flaws in aging aircraft by: 4.
Mine detection using infrared techniques is primarily based on exploiting temperature and/or spectral color differences between pixels on the mines and background pixels.
The use of spatial information (e.g., size, shape, pattern) can provide additional discriminants, particularly if the mines are resolved into multiple pixels by a high-resolution imaging by: In mining these systems are run continuously; the coag consumption is typically the big cost, but low suspended solids, micro-plastic burdened, water the overall treatment charge for electricity and chemicals might be as low as a few US cents/m3.
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A prototype portable hyperspectral imager was field tested at an open-pit mine as part of an investigation of remote sensing technologies for use in detecting and monitoring conditions in surface mines that could lead to catastrophic slope failure. With rising costs in the mines and rising pay limits, the actual decision process to mine or not to mine a stope becomes of increasing importance in the maintenance of a reasonable Mine Call Factor and, thus, of an efficient producing gold mine.
Reference de Jager, E.J. () "the analysis of the Mine Call Factor in gold mining, with specificFile Size: KB. Simplified Hyperspectral Imaging for Improved Geologic Mapping of Mine Slopes 5/1/ - Book chapters A prototype portable hyperspectral imager was field tested at an open-pit mine as part of an investigation of remote sensing technologies for use in detecting and monitoring conditions in surface mines that could lead to catastrophic slope.
Mine rescue work. See also what's at your library, or elsewhere. Related term: Mine accidents; Narrower term: Mine rescue work -- Equipment and supplies; Filed under: Mine rescue work Mine rescue apparatus Scott/Draeger-BG / ([Washington]: U.S.
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Techniques for Improving Buried Mine Detection in Thermal We describe sensor-based and signal-processing-based techniques for improving the detection of buried land mines in thermal infrared imagery.
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