Based on the Hyperion data of Liaodong Bay

with the spectral response and image characteristics of offshore oil slick analyzed

an effective method of extracting offshore oil slick image from Hyperion data was proposed. First

the ratio of 740nm to 690nm was used to extract water range from the Hyperion image of the research area; second

by transforming the water hyperspectral reflectance image with minimum noise fraction （MNF）

the offshore oil slick information of every Hyperion band was converged into several MNF bands. Analysis on the 2 dimensional （2D） scatter plots of those MNF bands showed abnormal scatter plots would appear because of offshore oil slick

and those endmembers’ MNF spectrum could be extracted by ENVI software’s 2D scatter plots tools. Taking those endmembers’ average MNF spectrum as standard offshore oil slick MNF spectrum

using the mixture tuned matched filtering method （MTMF） to filter the MNF images from 1 to 5 bands

and finally by evaluating the eigenvalue in matched filtering score image and infeasibility image value

the offshore oil slick could be successfully extracted from the Hyperion image. This rapid detection method could be used to find offshore oil slick in hyperspectral images.