Title :
A new adaptive band weighting technique for hydrocarbon detection
Author :
Li, Yifeng ; Lampropoulos, George A.
Author_Institution :
A.U.G. Signals Ltd., Toronto, ON, Canada
Abstract :
In this study, a new approach is presented for hydrocarbon detection using hyperspectral data. The algorithm is developed based on an adaptive band weighting (ABW) technique which utilizes information in different spectral bands of the hyperspectral data to enhance the detection of desired oil signatures while suppressed the unwanted background. A constant false alarm rate (CFAR) detector is then used to obtain detected hydrocarbon under a constant false alarm rate. The algorithm has been tested using an AVIRIS hyperspectral data. A comparison study is also carried out between ABW algorithm and the Mixture Tuned Matched Filtering (MTMF) algorithm in a small sub-scene of the AVIRIS data based on the Receiver Operating Characteristic (ROC) curves from the 10 regions of interest. The presented algorithm has a higher probability of hydrocarbon detection and lower false alarm than that of MTMF results.
Keywords :
geophysical techniques; hydrocarbon reservoirs; remote sensing; ABW technique; AVIRIS hyperspectral data; CFAR detector; MTMF algorithm; Mixture Tuned Matched Filtering algorithm; Receiver Operating Characteristic curves; adaptive band weighting technique; constant false alarm rate detector; hydrocarbon detection probability; oil signatures detection; spectral bands; Electronic mail; Filtering algorithms; Gas detectors; Hydrocarbons; Hyperspectral imaging; Hyperspectral sensors; Matched filters; Petroleum; Pixel; World Wide Web; Receiver Operating Characteristic; abundance image; constant false alarm rate detector; hyperspectral;
Conference_Titel :
Digital Signal Processing, 2009 16th International Conference on
Conference_Location :
Santorini-Hellas
Print_ISBN :
978-1-4244-3297-4
Electronic_ISBN :
978-1-4244-3298-1
DOI :
10.1109/ICDSP.2009.5201136
