X k-up-table
n by index
assified or
useful for
oral image
n and their
ding noise
arithmetic
g different
to 3 steps.
a temporal
p program
arithmetic
limited on
expression
ORTRAN
on of the
am checks
roceeds to
in order to
alues 0 is
Maximum
following
tation the
Input files
stics) file.
SEAN 2.0
can classify up to 255 classes, class O is always reserved for
unknown (unclassified) class.
Number of channels af the Input image : 4
The formule can be up to 68 characters long
The formula will be constructed based on FORTRAN style
using any FORTRAN intrinsic functions and the following
mathematics character set :
1234567698.[ j-?f- x Mathematics symbols
01,52,....bi,...bn ^^ Digital values of band í
Wew value - FID, 2... ba] =
|b3-bzi*t 00.4 b3:b2)4127. |
Figure 3. Formula definition for Arithmetic operation
Program first classifies the look up table LUT1 and then
the image data in CPT format will be labeled according to the
code of pixel value vector that has been classified in LUTI.
During classification program prompts for two parameters :
sigma range and correction factor. The sigma range is actually
multiplicity of standard deviation of the class. Default value of
it is set to 3.0. The correction factor is primary conversion
coefficient. Decrease of it has the effect to falsely increase the
likelihood for the class. Its default value is set to 1.0. When
classification result seems to be incorrect by unknown reason, it
is possible to use this coefficient to correct the result. The
classification process is interactive that is after classification
user can observe at once the result on the screen and if the result
does not meet the requirement then by changing sigma range
and correction factors classification can be repeated until
satisfied result is achieved.
Class 1 : POND
Sigma Range — Correction Facter
Ws;
Figure 4. Maximum likelihood classification
3.5 Change Analysis
This is a group of three separate functions used to display
multidate image after registration, extraction of the change
between two classified images and display of the change matrix.
By Plural image display menu two or three multidate
images can be mixed and displayed. The nature of the mixed
display is to assign certain band of input images to one of three
image planes red, green or blue. The result image is an overlay
of different bands from different images. WinASEAN can mix
image data in different format as BSQ, BIL, BIP.
In order to generate view of changes based on two
classified images taken from different time ASEAN create at
first change matrix and stores it in file .CHA. Program ignores
all combination between the same classes and assigns them
black color for display. The .CHA file has structure as following
Image header 1024 bytes
Encoded image data Number of lines * number of
columns * code size
Color table
LUT2 Frequency of each change pattern
Name of the first image
Legend of the first image
Name of the second image
Legend of the second image
LUTI Look - up - table containing all
changes
Because the change matrix is actually not image so in
order to display it program assigns to each code three artificial
gray values and then use it to generate visual presentation. The
color is selected so that the color difference between codes is
maximal. During display individual color presentation for each
change combination can be changed. By this way some change
combinations can be switched off by assigning to black color or
enhanced some combination by changing their color to vivid
one.
1. mage 2. image Counis Code
VEGET2 vegeti — 128920 12
Figure 5. Change matrix display
3.6 Bird's Eye View Image Generation
The goal of bird's eye view image generation is to create a
projected image according to the selected azimuth, depression
angles and DEM of the selected area. DEM (Digital Elevation
Model) contains ground height or elevation of each pixel and it
is represented as grid with ground resolution as same as
resolution of remote sensing data to be overlaid on the DEM.
Each cell of the DEM contain information about elevation
which is usually coded by 1, 2 or 4 bytes.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B6. Vienna 1996