ROC curve analysis for validating objective image fusion metrics

Messer, Neal; Ezekiel, Soundararajan; Ferris, Michael H.; Blasch, Erik; Alford, Mark; Cornacchia, Maria; Bubalo, Adnan

doi:10.1109/aipr.2015.7444531

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…The x-axis illustrates the false positive rate, representing the number of cases incorrectly identified as positive out of the total negative cases. The y-axis showcases the true positive rate, also known as recall or sensitivity [84].…”

Section: Quality Metricsmentioning

confidence: 99%

Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms

Cavur,

Yu,

Demir

et al. 2024

Remote Sensing

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Mineral mapping from satellite images provides valuable insights into subsurface mineral alteration for geothermal exploration. In previous studies, eight fundamental algorithms were used for mineral mapping utilizing USGS spectra, a collection of reflectance spectra containing samples of minerals, rocks, and soils created by the USGS. We used an ASD FieldSpec 4 Hi-RES NG portable spectrometer to collect spectra for analyzing ASTER images of the Coso Geothermal Field. Then, we established the ground-truth information and the spectral library by analyzing 97 samples. Samples collected from the field were analyzed using the CSIRO TSG (The Spectral Geologist of the Commonwealth Scientific and Industrial Research Organization). Based on the mineralogy study, multiple high-purity spectra of geothermal alteration minerals were selected from collected data, including alunite, chalcedony, hematite, kaolinite, and opal. Eight mineral spectral target detection algorithms were applied to the preprocessed satellite data with a proposed local spectral library. We measured the highest overall accuracy of 87% for alunite, 95% for opal, 83% for chalcedony, 60% for hematite, and 96% for kaolinite out of these eight algorithms. Three, four, five, and eight algorithms were fused to extract mineral alteration with the obtained target detection results. The results prove that the fusion of algorithms gives better results than using individual ones. In conclusion, this paper discusses the significance of evaluating different mapping algorithms. It proposes a robust fusion approach to extract mineral maps as an indicator for geothermal exploration.

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Section: Quality Metricsmentioning

confidence: 99%