of the pixel in the test pattern data specified by the 
computer (see Fig. 2). 
Column 
  
  
  
1 2 3 
s 1 5 1 0 D (Col umn., L i'ne) 
oval 3 2 9 D (C2, 43) =. 240 «= 7 
n 
e 3 4 7 8 Correct! 
  
  
  
  
  
Fig. 2 Column/Line Identification 
2) Gradation 
The value of remotely sensed data contains information such as 
reflectance or radiance of the earth surface etc. If the value 
deference are displayed in the density difference, the data 
appears in gradation imagery. The imagery changes according to 
the assignment of graduation. 
This exercise enable trainees to understand the basic idea of 
image gradation. 
3) Multi-spectral Information 
Any object on the earth surface has its own spectral reflectance. 
Through this multi-spectral information exercise, trainees can 
understand the basic idea of multi-spectral information 
processing in remote sensing. According to the movement of the 
spectral axis along the spectral reflectance curve shown on the 
Fig. 3(a) operated by the trainees, the spectral reflectance of 
the woods and the soil change as shown on Fig.3(b) and (oc). This 
exercise enables trainees to understand the multi spectral 
characteristics and optimal spectral selection for discrimination 
of different objects. 
4) Pseudo Color 
Using test pattern data, trainees understand the basic idea of 
density slicing and making of pseudo color. 
5) False color 
This exercise enable trainees to under stand the basic idea of 
false color composite. 
6) Geometric Correction 
Two different grid pattern, the one is geometrically modified 
from the other, are displayed on the display as shown on Fig. 
4. Trainees have to designate the corresponding grid pair( GCP : 
Ground Control Point) in the both grid pattern. After 
designation, geometric correction is automatically performed, and 
the correctness of the selection of the GCP will be evaluated. 
Through this exercise, trainee can understand the characteristics 
of geometric correction. 
4T