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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