Most of the beginners are not only beginners of remote sensing 
but also beginners of digital image processing. 
In order to avoid the confusion, two types of data are used in 
this training system. One is the artificial test pattern type 
data used for understanding the basic ideas of image processing, 
and the other is the remotely sensed data (Landsat MSS data, 
MOS-1 MESSR data etc.) used for understanding the practical 
techniques for application of remote sensing. 
As the remotely sensed data, Landsat floppy disk data distributed 
from RESTEC is used. The format of Landsat floppy disk is shown 
on Table 1 and 2, 
Table 1. Disk Format of Landsat Floppy Disk 
  
  
  
  
  
Item Contents 
Physical format IBM Part 1766872 
Logical format IBM(256-2D) 
Floppy size 8 inches / 5 inches 
Recording form Two-sided, double-density 
Memory capacity 1 M Byte 
Cylinder No. 77 cylinders 
Track No. 154 tracks (2 tracks/cylinder) 
Sector No. 26 sectors/track 
Sector length 256 byte/sector 
  
Table 2. Data Format of Landsat Floppy Disk 
  
  
  
  
Logical format File constitution 
BIL Header Data 
(1 file) 512 byte|512pixels X 400lines X lbyte X Abands 
BSQ Header Data 
(4 files) 512 bytel512pixels X 4001ines X lbyte X ]band 
  
  
  
  
4. Curriculum 
The curriculum of ENDIPS-T are consists of the Fundamental 
Training and the Application Training. 
4.1] Fundamental Training 
The Fundamental Training is planned to train beginners to 
understand basic ideas of digital image processing which are 
fundamental for remotely sensed data analysis. In order to 
simplify the problem, the data used in this training are the 
artificial data. 
1) Column/Line Identification 
In order to make trainee understand the digital image structure 
consist of pixels, the column/line identification test is 
performed. In this exercise, trainees have to identify the value 
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