te and
marsh,
cation,
d their
jotoRS
) times
select
has 12
indary
h and
11,000
f main
of the
, non-
. The
's and
, most
: 2001
nages
table
IAPRS & SIS, Vol.34, Part 7, “Resource and E
nvironmental Monitoring”, Hyderabad, India, 2002
2.2.2 Administrative Boundary: The county’s boundary was
traced from the rectified 1:50000 maps.
2.2.3 Reference Material: 1-50000 maps for images
rectification, merged IKONOS images for grassland and city
expansion information extraction, 1:100000 maps (1983) for
marsh interpretation, "Tianjin land use overall planning
map(1996-2010)" for marsh interpretation and "Tianjin city
overall planning map(1996-2010)" for marsh interpretation.
2.3 Method
The processing flow is shown in Figure 1:
Image l Otimel 0 Image2(time2)
E + c y
matchin m
| Rectification d 2 =
Y E
ymerge =.
S
| Merged Image |
| v
grassland) Y (marsh/grass)
=
Extract Change Information Supervised Classification B
=
l | e
y =
=.
| Post-process changed information | S
Y =
sig a >
| Statistic and Mapping | v S 9
Figure 1. Processing Flow
2.3.1 Data Preparation: Using our software package PhotoRS
to rectify imagel of timel. The control coordinates were
acquired from 1:50000 digital raster graph, which had been
rectified by our other software package PhotoDRG. The
method of matching image2 to imagel is to rectify image2 with
the coordinates acquired from the geocoded imagel. The next
step is to merge the two images into one after both had been
enhanced.
2.3.2 Marsh Information Extraction:
1) Supervised Classification
Firstly, keep a group of target classes in mind, such as lake,
river, sea, swamp and so on, which can provide a framework
for organizing and categorizing the information to be extracted
from the image, then create the appropriate signature from the
data. Supervised classification was performed on the TM
images of 1999 using ERDAS Imagine 8.4. But the results were
not so ideal, because there were some noises and false
information except the true marsh spots.
2) Editand Detailed Classified Information
The method of modifying the classified information is visual
analysis/interpretation and tracing. Using PhotoShop, a psd file
can be created which have eight layers. One layer is for the
thematic image (1999, obtained by step 1). One layer is for
merged image of 2001 (TM + SPOT). The others were set to
hold change information, including six types, such as “lagoon”,
“river”, “lake”, “coast lagoon”, “manmade pools” and
"swamp". Referencing to "Tianjin land use overall planning
map" and according to the merged image, the boundary of the
six kinds of features were traced and put into each layer.
2.3.3 Grassland Information Extraction:
1) Supervised classification
There are four kinds of grassland: "residential grassland",
“focus grassland”(lawn in large square or in large park),
“trees along road” and “trees or grass in the country”.
Supervised classification was performed and a classified
image was created.
2) Edit classification information
Some lawns among the buildings could not be extracted by
supervised classification, because they were covered by
building's shade. Those lawns and grassland which had not
identified exactly by computer were traced by expert. The false
information should be removed, for example, suburb's
farmland had been classified as grassland. Because no recent
material to help us judging each grassland type, the decision
was made based on the image texture, color, spatial, spectral
information and especially experts' experience.
2.3.4 City's Reconstruction and Expansion Information
Extraction: This information's extraction mainly depended
upon individual analysis and interpretation. Because the image
spectrum around city is so complex, the supervised or un-
supervised classification method is not very effective.
Therefore, the 1999 TM image and 2001 SPOT image were
merged after each image had been enhanced. It is easy to see
that the bright green pixels represent a new building on
farmland or other vegetation. If they were outside the city, then
represent the city expansion information. According to the
referenced material it can make sure which buildings were
created on farmland and which ones were created on non-
farmland during last year.
The renovation information within the Tianjin Outer Ring Road
was extracted by comparing merged image of 1999 with
merged image of 2001. It can be seen that new buildings have
more perspicuity texture and brighter color than old ones.
785