SPRING
Tutorial - 10 classes
IMPORTANT:
This tutorial contains 10 classes. You need to
install in your computer the data to follow the
exercises. The file "tutor_10classes.exe" (for
Windows), "tutor_10Classes.tar.gz" (for Linux)
and "tutor_10Classes.zip" (for Mac/OS), can be
downloaded from the internet at http://www.dpi.inpe.br/spring/english/manuals.html
.
To install the data:
Double
click over the file “ tutor_10Classes.exe
”. It will be proposed to
install in the folder c:\tutor_10Classes.
Click over Next on
the dialog files that follow.
Copy
the file "tutor_10Classes.tar.gz" to a
directory from where you want to install the
data. Type"gzip -d tutor_10Classes.tar.gz"
followed by "tar xvf tutor_10Classes.tar".
Double
click over the file "tutor_10Classes.zip".
It will be proposed to install in the folder
c:\tutor_10Classes. Click
over Next on
the dialog files that follow.
NOTE: After installing the data, the
following folders will be found in <drive/local_destination>\Tutor_10Classes:
springdb\Course (corresponds
to an already processed database)
springdb\DF
(corresponds to an already
processed database)
springdb\Urban
(database with an IP to
query)
Data
(files to be imported)
Images
(images to be registered and
imported)
Legal_programs
(programs to be edited and
executed with LEGAL)
Reports
(to save reports)
PDF_tutorial
(theoretical chapters and
exercises in PDF format – only if installed)
Synopsis
IMPORTANT:
The classes are formatted in PDF so you must
install the "Adobe Acrobat Reader" program,
which is available on SPRING CDROM or at:
http://www.adobe.com/products/acrobat/readstep.html.
These same pdf files (Classes) are available
when you execute the program: "tutor_10Classes.exe",
"tutor_10Classes.zip" or "tutor_10Classes.tar.gz".
- SPRING
OVERVIEW
The objective of this class is simply to present
the SPRING system to the user. A previously
created database (DF) will
be used for a first contact with the main
interfaces of SPRING. The user will have an
overview of the data model of many maps and of
the drawing area presentation control. The
following main topics are presented:
- System
Presentation
- SPRING
Databases
- SPRING
Data Model
- Projects
- ILs
Visualization
- Exit
SPRING
- READING
IMAGES
In this class the image treatment is initiated,
for the case of LANDSAT 5 satellite. Since the
image to be manipulated is in the TIFF format,
the “ Spring ”
module will be used to read the image, cut it
and convert it to the SPG format. The
following main topics are presented:
- Digital
Image
- Image
Characterization
- Resolution
and Bands
- Image
Reading and Conversion
- IMAGE
REGISTRATION
The aim of this class is to perform the
geometric correction of the image that was
opened and converted in the last class. In this
class the student will define a new database ,
and within it a new project that
includes the image read by “ Spring ”.
It will be necessary to inform that this new
database will be prepared to work with images,
thus we will define a category of the image
type. To acquire the control points for the
registration we will employ the keyboard mode ,
where some points surveyed in the field will be
provided together with their relative positions
on the image. The following main topics
are presented:
- Image
Registration
- Database
Definition and Model
- Procedures to Register the
Image - via Keyboard
- Selecting the image to be
registered
- Control Points Acquisition
- Selecting Points for the
Registration
- Registering an IMAGE
NOTE:
If you prefer, check
here
the position of the control points on the image.
- IMAGE
PROCESSING
After image registration, in this class the
student will exercise all the techniques of
image processing. The first two techniques
(Image Contrast and Pixel Reading) can be
exercised using the database created by the
user, in case he has completed the two last
classes, on the contrary he can use the
Course database,
which already contains some registered images. The
following main topics are presented:
- Image
Contrast
- Pixel
Reading
- IHS
Transformation
- Arithmetic
Operations between Images
- Filtering
- Noise
Elimination
- Image
Statistics
- Image
Restoration
- Analysis
of Principal Components
- CLASSIFICATION
In this class the user will learn how to obtain
a thematic image starting from methods for the
classification of multispectral imagery. As for
the segmentation method it is suggested that
small areas be used before performing it over
the image of the whole project, since depending
on the project that could take hours of
processing. On this class it is presented how to
proceed to create a mosaic with the images of
adjacent regions. The following main
topics are presented:
- Pixel
based Classification
- Segmentation
- Classification
by Region
- Image
Mosaic
- RADAR
IMAGE PROCESSING
The objective of this class is to exercise some
techniques for the treatment of radar imagery.
Some radar images are already available in some
specific projects within the Course database.
The following main topics are presented:
- Speckle
Noise Elimination
- Antenna
Pattern Correction
- Slant
to Ground Range Conversion
- VECTOR
DATA MANIPULATION
In this class the vector data structure of
SPRING is presented to the user. Thematic maps
will be created via the importation of line
files in the ASCII format. In some maps (use and
soil) the user will need to use the editing
tools of the system. The user will also see how
to convert from vector to raster the thematic
Information Layers (IL's) edited, and thus being
able to compare both representations. The
following main topics are presented:
- Vector
Edition
- Graphical
Edition
- Conversion
of Formats
- NUMERIC
MODELING
The aim of this class is to introduce the user
to the data manipulation of the numeric model of
SPRING. A map containing the samples (contour
lines and spot heights) has already been edited,
together with the rectangular and triangular
grids generated. The user will be able to test
the importation and generation of grids in
another IP, by performing the importation of
contour lines/spot heights in the DXF format,
although for an area smaller than the project's
one. However, to obtain some products he can use
the grid already available in the IP
“Altimetry_map”. The following main
topics are presented:
- Digital
Terrain Model (DTM)
- Grids
and Interpolators
- DTM
Products
- ANALYSIS
AND SPATIAL QUERY
In this class the user will learn how to edit a
cadastral map from the manipulation of objects.
Over this map the querying mechanisms will be
presented (by pointing, by attribute, by
grouping, and by tables). Some map algebra
analysis and programming tools (the LEGAL
language) are also presented. The
following main topics are presented:
- Database
Query
- Spatial
Analysis
- LEGAL
- GENERATING
AND PRINTING MAPS
The objective of this class is to generate a map
to be printed. Any of the IP's created in the
previous classes can be used. The
following main topics are presented:
- Map
Element
- Map
Generation (SCARTA)
- Printing
Maps - IPLOT e Gview
Check
also:
SPRING
Workspace
About
SPRING
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