Full text: Proceedings, XXth congress (Part 7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
3. RESULTS AND CONCLUSIONS 
e The PU method significantly reduces the overall 
processing complexity and is making analysis easier and 
more robust for the user. 
e The PU method provides a quick and practical operational 
method for selecting ROIs, without using statistical 
classification algorithm, where MNF function and 2-D 
scatter plot are available in all image analysis software 
packages. 
The results indicated good separation of oil slicks, oiled water, 
and polluted water. Results are used as a preliminary 
identification of oil targets, as there is no ground truth data 
available. PU provides a method of resolving only that fraction 
of the data division problem that directly relates to the specific 
goals of the investigation. PU allowed mapping of the apparent 
target abundances in the presence of an arbitrary and unknown 
spectrally mixed background. 
References 
Boardman, J.W., K.A. Kruse, and R.O. Green, 1995. Mapping 
target signatures via partial unmixing of AVIRIS data, in: 
Summaries of the Fifth Annual JPL Airborne Geosciences 
Workshop, Pasadena, CA, 1. 
Goodman, R.H. and Fingas, M.F., 1988. The Use of Remote 
Sensing for the Determination of Dispersant Effectiveness, the 
Eleventh Arctic and Marine Oil spill Program Technical 
Seminar, Environment Canada, Ottawa, Ontario,pp.377-384. 
Richard, J., Marcus, W., Boardman, J., 2002. Consideration in 
collecting, processing, and analyzing high spatial resolution 
hyper-spectral data for environmental investigation. Journal of 
geographic systems (2002) 4:15-29 Springer-verlag . 
Taylor, S., 1992. 0.45 to 1.1 im Spectra of Prudhoe Crude Oil 
and of Beach Materials in Prince William Sound, Alaska, 
CRREL Special Report No. 92-5, Cold Regions Research and 
Engineering Laboratory, Hanover, New Hampshire, 14 p., 
1992. 
Wagtendonk, Jan. W. and Ralph R. Root, 2000. Hyperspectral 
analysis of multi-timporal Landsata TM data for Mapping fuels 
in Yosemite National Park, USGS, BRD, Western Ecological 
Research Center, Yosemite Field Station 
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