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Title
Mapping without the sun
Author
Zhang, Jixian

167
samples around that sample are selected and are judged by the
similarity between the samples of Tl.
Firstly, the change index was judged by triple standard
deviation, if less than the 3 times of deviation, then mark the
land use segment, vice versa.
Secondly, each segments of T2 will be classified according to
the minimum Euclid distance to the T2 sample segments
accepted, and the corresponding land use type will be assigned
to the current segment.
II |2
d , =F-^j| = JZK ~ m v\ (5>
If d i — min {d k } , then the corresponding land use type k
will be assigned to the current segment.
Figure 2. quick bird image conflation with the land use map
3. EXPERIMENTS AND DISCUSSION
3.2 Pre-procession
Based on the new methodology, we do experiment by means of
quick bird image data of 2002 and the land use map of 2002,
the main steps are given here:
]-i
registration f- Land — registration
1 map 2002 1
K
SamDle seament
■ T

Texture
character
Feature
extraction
. 1
I !
generation
(sample)
- K
a.
JLL
Sample
judgment
Submission result
feature
generation
(Segment)

Change
detection
1
Figure 1. the flow chart of LUCC based on the land use
segment
3.1 Main datum
1:10000 land use map
1:5000 wuhan map
1:10000 wuhan DRG
Quick bird satellite data in 2002, 2005
3.2.1 Registration
In experiment, we pick 35 GCPs and 6 check points, make use
of 3 order polynomial to geometric correction , projection:
Transverse Mercator, Spheroid: Krasovsky, Datum:
Krasovsky, total control point error is 0.2376, less then 0.5
pixel.
3.2.2 Standardization
In order to reduce the diversity of spectra in different time
series image, we standardize the image in 2002 and 2005.
Figure 3. standardization of quick bird image 2002 (band 5)