Oil and Gas Anomaly Extraction by Combining Hyperspectral Image Data with Multispectral Image Data
Liu Jia
Wang Daming
Liu Dechang
Zheng Hongrui
Li Zhizhong
Sui Zhengwei
Abstract：In order to verify the anomalies without any field survey data in remote sensing image caused by hydrocarbon micro seepage phenomenon,the multispectral image and hyperspectral image anomaly interpretation results are used to verify each other in this paper.A new method to confirm the multispectral principal component aberrant threshold value by counting the multispectral pixel value located in the hyperspectral anomaly area is proposed.The overlap rate between the multispectral im-age anomalies divided by the new method and the hyperspectral image anomay area is computed at 98.808%,higher than the traditional principal component threshold technology.
Keywords：hyperspectral imagemultispectral imageremote sensingoil and gas anomaly extractionanomaly thresholdanomaly verification
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 1371-1380 )