Anomaly Detection – Parameters
Anomaly Detection parameters control file
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// ANOMALY TYPE
anomalyType 1 // anomaly type
// 1 – spectral anomalies (line data)
// 2 – potassic anomalies (line data)
// 3 – point anomalies (line data)
// 4 – spectral anomalies (grid data)
// 5 – potassic anomalies (grid data)
// 6 – spectral anomalies by tiles (grid data)
// 7 – potassic anomalies by tiles (grid data)
// 8 – point anomalies (grid data)
// 9 – Caesium anomalies (line data)
// 10 – Hydrocarbon (leakage) anomalies (line data)
lineFlag 0 // 0 – use lines only
// 1 – use ties as well
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// FILE NAMES
shapeFile Goulburn_lineSpec_anomalies // shape file name
surveyName Goulburn // survey name
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// SPECTRAL AND POTASSIC ANOMALY DETECTION
bgdWindowSize 0 // background window size – 0 for whole dataset
tgtWindowSize 5 // target window size
tileSize 500 // tile size for processing by tiles
padSize 200 // pad size (for tile overlap)
tgtPctThreshold 99.90 // target percent threshold (percentage of data points
// selected as anomalies is (100 – tgtPctThreshold)
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// POINT ANOMALY DETECTION
surveyHeight 65 // survey height (m)
sampleInterval 62 // sample interval (m)
lenResponse1 5 // length (data points) for filter 1
lenResponse2 7 // length (data points) for filter 2
lenResponse3 9 // length (data points) for filter 3
prismWidth1 10 // width of prism (m) – model 1
prismWidth2 100 // width of prism (m) – model 2
prismWidth3 250 // width of prism (m) – model 3
upperThreshold_k 0.75 //
lowerThreshold_k 0.30 //
upperThreshold_u 0.75 // anomaly detection thresholds (between 0 and 1)
lowerThreshold_u 0.30 //
upperThreshold_t 0.75 //
lowerThreshold_t 0.30 //
lowAmplClip_k 0.4 // discard anomalies with amplitudes less than lowAmplClip
lowAmplClip_u 1.2 // – expressed in units of average crustal concentrations
lowAmplClip_t 0.5 // (2.0 %K, 2.5 ppmU and 9 ppmTh)
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// CESIUM ANOMALY DETECTION
csThreshold 3.1 // caesium anomaly threshold (sdevs above mean)
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