Open AccessA REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR
Author(s) -
Rand Swanson
Publication year - 2004
Language(s) - English
Resource type - Reports
DOI - 10.2172/833479
Subject(s) - false positive paradox , core (optical fiber) , smoothing , wavelet transform , computer science , saturation (graph theory) , artificial intelligence , wavelet , geology , remote sensing , pattern recognition (psychology) , computer vision , mathematics , telecommunications , combinatorics
This twelfth quarterly technical report discusses work on classification algorithms and an improved lighting system. Measurements on core in the Stillwater Mine core room showed that false positive sulfide classifications occurred at breaks in the core and there were also problems with camera saturation due to glints from crystal facets within the core. To reduce false positives due to noisy data, a wavelet transform smoothing program was explored. Results indicate classifications improve only marginally with smoothed data for spectral angle mapping techniques. A new lighting technique was developed to decrease saturation due to glints from facets within the core samples. This appears to have decreased the glints and it has the added benefit of greatly decreasing false positives near the breaks in the core