TY - GEN
T1 - Study on the alteration minerals caused by oil and gas microseepage by extracting endmembers from hyperion
AU - Liu, Na
AU - Chen, Xiaomei
AU - Li, Qianqian
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - Currently, it is not adequate to extract and classify the hyperspectral image for oil and gas exploration. For mining the deeper remote sensing data about hydrocarbon microseepage, the technology of spectral unmixing can extract pure surface information and provide each pixel's endmember abundance. However, endmember extraction is the key of spectral unmixing. The paper mainly researches a valid algorithm, which has already be proposed, for extracting endmembers caused by the hydrocarbon microseepage from Hyperion image. Comparing the different endmember algorithms by analyzing the correlations between endmember abundances and contents, the experimental results demonstrate that PPI algorithm is more robust and efficient for extracting the hydrocarbon microseepage information in the study area.
AB - Currently, it is not adequate to extract and classify the hyperspectral image for oil and gas exploration. For mining the deeper remote sensing data about hydrocarbon microseepage, the technology of spectral unmixing can extract pure surface information and provide each pixel's endmember abundance. However, endmember extraction is the key of spectral unmixing. The paper mainly researches a valid algorithm, which has already be proposed, for extracting endmembers caused by the hydrocarbon microseepage from Hyperion image. Comparing the different endmember algorithms by analyzing the correlations between endmember abundances and contents, the experimental results demonstrate that PPI algorithm is more robust and efficient for extracting the hydrocarbon microseepage information in the study area.
KW - Spectral unmixing
KW - endmember extraction
KW - hydrocarbon microseepage
KW - mineral alteration
UR - http://www.scopus.com/inward/record.url?scp=84911456054&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2014.6946563
DO - 10.1109/IGARSS.2014.6946563
M3 - Conference contribution
AN - SCOPUS:84911456054
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 871
EP - 874
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Y2 - 13 July 2014 through 18 July 2014
ER -