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Maruyasu, T.

Murai, S.

English

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28990 Investigation of environmental
Change pattern in Japan
( Land Use Classification by
Spectral Pattern Analysis-
Preliminary Report )
E76-10.362
Dr. Shunji MURAI
Co-Investigator
Institute of Industrial Science
University of Tokyo
(E76-103621 INVESTIGATION OF ENVIRONMENTAL
CHANGE PATTERN IN JAPAN. LAND USE
CLASSIFICATION BY SPECTRAL PATTERN ANALYSIS;
PRELIMINARY REPORT QUARTS-RLY REPORT
(SCIENCE UNIV. OF TOKYO (JAPAN).)  4 P HC
Quarterly Report
April 19, 1976
N76-25601
K  3S.5a
UNCL AS
G3/43 30362
LAND USE CLASSIFIACTION BY SPECTRAL PATTERN ANALYSIS
- PRELMINARY REPORT -
Dr. Shunji MURAI
Associate Professor
Institute of Industrial Science
University of Tokyo
INTRODUCTION
The automated classification of land use has been based upon the
statistic analysis with the use of training sets carefully setected in the
training area. The clustering has been also another automated classification
technique for land use.
However, these techniques do not use the patterns of spectral radiance
curve obtained from the four spectrum bands, but the vectors of the four
spectral values.
Land use classification by the spectral pattern analysis is being
studied by the author. -The results obtained from the preliminary study
show that three typical patterns can be recognized which correspond to the
three primary components of land use; water, vegetation and non-organic
matter, which were defined in the previous report by the author.
TECHNIQUES
The spectral radiance curves are classified into 27 different patterns
as shown in Fig. 1.
The input data for the pattern analysis are obtained from the
preprocessing, by which the original digital values stored in the LANDSAT
MSS CCT are converted into the spectral radiance.
The pattern analysis was tested for Chiba Area, in which the ground
truth data are acquired from the national land use map of 1:50,000 with the
grids of 100 meters x 100 meters, and the LANDSAT MSS digital data are
geometrically corrected so as to correspond to the above mentioned grid.
Further detail classification for the data in the same pattern is now
being discussed and tested. The principal component analysis will be one
of the effective procedure which represents the trend of spectral radiance
in the same pattern.
1
RESULT
Three major patterns were obtained which correspond to the three
primary components, water, vegetation and non-organic matter, as shown in
Table 1. The table shows that the land use is composed of the Mixture of
vegetation and non-organic matter. The more detail classification for land
use will be given in the final report.
Table 1
Vegetation JNon-Organic Matter Water ! ' Total
Pattern No. No. X No. X No. X No.	 X
19 112,220 75.6; 3,886 24.0 50 0.4 16,156
25 4,124 32.3E 8,644 67.7 !	 0 0.0 12,773
27 0 O.Oi 207 1.7 '12,223 98.3 12,430
Total 16,349 12,737 !12,273 41,359
Remarks
(1) Non-organic matter includes bare soil, sand, rock, concrete, asphalt
and so on, which are detected in the town, open space, construction,
site, coast, industrial zone, partly residenrial zone, even agicultural
field and so on.	 I
(2) Vegetation is included in the forest, residensial area, agricultural
field and so on.
t
2
-, CLA	 ICAT ON -OF PA TT ERN
l
CASE SYMBOL PATTERN
1 IPT(1,1,1) {+,+,+)	 __T---^
2 IPT(1,1,2) (+,+,0)	 ---	 -
3 IPT(1,1,3) (+,+,-)	 -
4 IPT(1,2,1) (+,0,+)	 ---	 ---------	 -
5 IPT(1,2,2) (+,0,0)-^-
6 IPT(1,2,3) ;	 (+,0,-)	 -
7 IPT(1,3,1)
8 IPT(1,3,2) s	 (+,-,0)	 ^r-	 -	 -
9 IPT(1,3,3)
10 IPT(2,1,1)
11 IPT(2,1,2) ;	 (0,+,0)
12 IPT(2,1,3) i	 ( 0 , + , - )
13 IPT(2,2,1) (0,0,+)	 ---`"
14 IPT(2,2,2) (0,0,0)
15 IPT(2,2,3) (0,0,-)
16 IPT(2,3,1) ► 	 (0,-,+)	 -	 --	 -
17 IPT(2,3,2) (0,-,0)
18 IPT(2,3,3) ;	 (0,-,-)
19 IPT(3,1,1)
20 IPT(3,1,2) ;	 (-,+,0)	 -_
21 IPT(3,1,3) ;
22 IPT(3,2,1) ;	 (-,0,+)
23 IPT(3,2,2) ;	 (-,0,0)-
24 IPT(3,2,3) ;	 (-,0,-)	 -----_-
25 IPT(3,3,1) ;	 (-,-,+)
26 IPT(3,3,2) ;	 (-,-,0)
27 IPT(3,3,3) ;	 {`,-,-)
AS A-4 21OX297 NO.T oO


Investigation of environmental change pattern in Japan. Land use classification by spectral pattern analysis; preliminary report

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