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Title
The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
Author
Chen, Jun

ISPRS, Vol.34, Part 2W2, "Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001
135
il oil
;ness of it
do with
film. The
5 a series
i along Y
window in
i alterable
led-oil and
data line
W). There are three kinds of mJDegree, they are normal
degree, mediate degree, wide degree. The image output of
each kind of oil is different appreciably. We can learn from it
that first the method of Featured-Data-Line- Window (FDL-W)
is only correlated with the thickness of oil film. The different
kinds of mjdegree are used to search different thickness of oil
film. Second the light diesel oil can diffuse quickly on the
surface of the sea and form an even oil film easily. So the
result of three kinds of mjdegree is same basically. The result
of other kinds of oils is different from light diesel oils’. Crude oil
has obvious contrastive result. As crude oil will turn into solid
when it is in cold in the surface of sea, the thickness of oil film
is very different.
To sum up, whether theory analysis or the results of image
process proves that the method of Featured-Data-Line--
Window (FDL-W) can do the work of Auto-extracting the Sea
Oil Information. The accuracy of it depends on the size of
window that is related to the kinds of oil and thickness of oil
film. If the correlation between thickness of oil film and
spectrum value is great the size of window will have a huge
influence on the results of extraction otherwise the size of
window will have a little influence on the results of extraction.
This correlation can be gotten from spectrum feature
database. The accuracy of information extraction depends on
the Window. Actually, the size of the Window is related to what
kind oil is and how thick oil film is. The more relevance
between spectrum data and thickness of oil film, the more
important between choosing the size of the window and the
result of the extraction. Otherwise, the size of the Window
won’t affect the result much. Therefore, choosing the size of
the window is complicated. We can find the relevance from
the database of the spectrum characteristic.
So which kind of the size of window should to be selected is
an important and complex problem. The advantage of this
method is its reliability and convenience. It collects information
from all channels, and the information can be recognized only
all criteria are met. One thing should bring our attention, which
is the pure of sample of oil spills, and the edge pixels result
from the spatial accuracy etc.
Reference
1. Guo Defang: 1987. The Computer Process and Mode
Distinguishing of Remote Sensing Image, Electronic and
Industry Press,
2. Li Qijun, Huang Fengrong: 2000,Study on Marine Optics
Remote Sensing and Spilled-oil Satellite Remote Sensing
and Monitor Technology,
3. Ma Ainai: 1997. Remote Sensing Information Model, Beijing
University Press,
sure if the
>rmation of
mation and
iry function
and output
hat are 1 df
Ne process
ndow (FDL-