pt U2 Buda VE US
«D £A
unmosaicing result of two kilometer grids.
Fig.18 shows the mosaicing result
corresponding to Fig. 17.
A test production for land source
investigation is made using many pieces of
land use map. These maps are processed to
test the accuracy of area and length
measuring. Comparing with the chinese
land source investigation standards, the
qualified ratio reaches to 100 percent.
And this is not the highest accuracy of CV2,
Reducing the working patch can increase the
accuracy when higher precision is expecting.
A set of experiments show that the scheme
of the thematic map reading system
proposed in this paper is realizable,
Optimal combination of computer —visiov
techniques and manual operation raises the
global efficiency of the system, Multi
-criteria line following improves the
reliability and adaptibility of line
extration, Topological data structure
organizes the thematic map data
efficiently and makes it easy to store and
manage them, Using this system to land
source investigation has get to a practical
stage. On the other hand, the idea and
some algorithms are suitable for the
reading process of other line drawings. So
this system can be developed further.
REFERENCES :
[1] Ballard, D.H. & Brown, C M , 1982.
Computer vision, Prentice Hall.
[2] Beard, M.K. & Chrisman, N. R. , 1986.
Zipping: new software for merging map
sheets, technical papers of 1986 ACSM
-ASPRS annual convention, Vol.1.
[3] Cui,Weiping, 1989.Design and research of
multipurpose cadastre information system,
Journal of Zhengzhou institute of
surveying and mapping, No.2, in chinese,
[4] Fishler, M. A. , Tenenbaum, J.M & Wolf, H.C.,
1981. Detection of roads and linear
structures in low resolution aerial
imagery using a multi- source knowledge
integration technique, CGIP, Vol. 15,
201-223.
[6] Groch, W.D., 1982. Extraction of line
shaped objects from arerial images
using a special operator to analyse the
profile of functions, CVIP, Vol. 18,
347-368.
[6] Hung, S.H.Y & Kasvand, T. , 1983.
Critical points on a perfectly 8-or 6-
connected thin binary line,
Pattern
243
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[16]
[16]
[17]
[18]
Recognition, Vol. 16, No. 3, 297-306.
Joseph, S. H. , 1989. Processing of
engineering line drawings for automatic
input to CAD, Pattern Recognition,
Vol. 22, No.1, pp 1-11.
Kasturi, R. etal., 1990. A system for
interpretation of line drawings, IEEE
Trans, on PAMI, Vol. 12, No. 10.
Lin Zongjian, Lu Jian & Fu Zhongliang,
1990a. GIS data inputing through
CCD camera, ISPRS, vol.28-3/2, May, 1990.
Lin Zongjian, Lu Jian & Yan Li, 1990b. A
topographic contour lines reading
system, Proc. of the 11th Asian conf. on
remote sensing, Guangzhou, China, NOV.
Lin Zongjian & Lu Jian , 1991a. CV2
graphic reading system , technical
report , Wuhan technical university of
sureying and mappimg, May, in chinese,
Lin Zongjian, Lu Jian, Yu Zifan & Di
Kaichang, 1991b. Computer vision
based map reading system, FIG int. symp.,
Beijing, May.
Musavi, M. T. , Shirvaikar, M. V., Ramanathan,
E & Nekovei, A.R.,1988. À vision based
method to automatic map processing,
Pattern Recognition, Vol. 21, No.4, pp
319-326.
Nagasamy, V & Langrana, N. A , 1990.
Engineering drawing processing and
vectorization system, CVGIP, Vol. 49, 379
-397.
Shu, Joseph Shou-Pyng, 1989. One- pixel
-wide edge detection, Pattern Recognition,
Vol. 22, No.6, pp 666-673.
Suzuki, S. & Yamada, T., 1990. MARIS
map recognition input system, Pattern
Recognition, Vol. 23, No.8, pp 919-933.
Zamperoni, P., 1982. Contour tracing of
grey scale images based on 2-D histograms,
Pattern Recognition, Vol.16, No. 3, pp
161-166.
Zhu, Zhipu & Kim Yongmin, 1989.
Algorithm for automatic road recognition
on digitized map images, Opt. Eng. , Vol.
28, No. 9.