0% found this document useful (0 votes)
41 views12 pages

Geomatica Orthoengine Rasat Orthorectification and Pansharp: Pre-Processing Setup - Multispectral Imagery

The document provides steps for orthorectifying and pansharpening RASAT satellite imagery using Geomatica OrthoEngine. It describes preprocessing the multispectral and panchromatic imagery separately, including setting projections, importing data, collecting ground control points, and generating orthorectified outputs. It then merges the multispectral bands and uses the PANSHARP2 tool to pansharpen and combine the panchromatic and multispectral imagery.

Uploaded by

simonaostache
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
41 views12 pages

Geomatica Orthoengine Rasat Orthorectification and Pansharp: Pre-Processing Setup - Multispectral Imagery

The document provides steps for orthorectifying and pansharpening RASAT satellite imagery using Geomatica OrthoEngine. It describes preprocessing the multispectral and panchromatic imagery separately, including setting projections, importing data, collecting ground control points, and generating orthorectified outputs. It then merges the multispectral bands and uses the PANSHARP2 tool to pansharpen and combine the panchromatic and multispectral imagery.

Uploaded by

simonaostache
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 12

Geomatica OrthoEngine

RASAT Orthorectification and Pansharp

RASAT is an earth observation satellite designed and developed by TBTAK Space Technologies
Research Institute (TBTAK UZAY). RASAT was produced in Turkey to provide high resolution
imagery. The multispectral imagery available from RASAT has a 15 meter resolution while the
panchromatic imagery has a 7.5 meter resolution. The RASAT satellite was launched
from Dombarovskiy Cosmodrome on August 17, 2011. Geomatica 2013 supports RASAT L1
format.

The following is a brief tutorial showing a step by step procedure for orthorectifying RASAT
imagery. A sample RASAT data set consisting of panchromatic and multispectral images of
Colorado, United States was used.

Pre-Processing Setup Multispectral Imagery

Open Geomatica 2013s OrthoEngine application


To do this through the Geomatica toolbar, click on the OrthoEngine button

Start OrthoEngine and click New on the File menu to start a new project. Give your project a
Filename, Name and Description. Select Optical Satellite Modeling as the Math Modeling
Method. Under Options, select Toutin's Model.

After accepting this panel you will be prompted to set up the projection information for the
output files, the output pixel spacing, and the projection information of GCPs. Enter the
appropriate projection information for your project.

Page | 1
Data Input

Select the GCP/TP Collection option from the Processing Step drop down menu and click on
Open a new or existing image.

From the Open Image window select New Image. Select the .XML file for each multispectral
band in the dataset.

Page | 2
Collect GCPs and Tie Points

Select the GCP/TP Collection processing step. GCP collection can be done using various
options: Manual Entry, Geocoded Images/Vectors, Chip Database or a Text File.
For the Rigorous model, a minimum of six accurate GCPs per image (or more, depending on the
accuracy of the GCPs and accuracy requirements of the project) are required.

Page | 3
Generate an Ortho

The final step is to Schedule Ortho Generation. Proceed to the Ortho Generation processing
step and select the file(s) to be processed. Select an appropriate DEM file and set other
processing options before generating the final orthorectified image.

View the Final Orthorectified Imagery

The final orthorectified images can be viewed in Focus by dragging and dropping the files into
the display window or by clicking on File Open.

Page | 4
Pre-Processing Setup Panchromatic Imagery

Start a new OrthoEngine project.


To do this through the OrthoEngine toolbar, click on File New

Give your project a Filename, Name and Description. Select Optical Satellite Modeling as
the Math Modeling Method. Under Options, select Toutin's Model. After accepting this panel
you will be prompted to set up the projection information for the output files, the output pixel

Page | 5
spacing, and the projection information of GCPs. Enter the appropriate projection information
for your project.

Data Input

Select the GCP/TP Collection option from the Processing Step drop down menu and click on
Open a new or existing image.

From the Open Image window select New Image. Select the .XML file for the panchromatic
band in the dataset.

Page | 6
Collect GCPs and Tie Points

Select the GCP/TP Collection processing step. GCP collection can be done using various
options: Manual Entry, Geocoded Images/Vectors, Chip Database or a Text File.
For the Rigorous model, a minimum of six accurate GCPs per image (or more, depending on the
accuracy of the GCPs and accuracy requirements of the project) are required.
The Geocoded image used for the panchromatic project was a previously orthorectified
multispectral image generated in the first part of this tutorial. This was done to ensure that the
images align properly.

Page | 7
Generate an Ortho

The final step is to Schedule Ortho Generation. Proceed to the Ortho Generation processing
step and select the file(s) to be processed. Select an appropriate DEM file and set other
processing options before generating the final orthorectified image.

View the Final Orthorectified Imagery

Open Geomatica 2013s Focus application


To do this through the Geomatica toolbar, click on the Focus icon
Click on File Open and navigate to the location of the data

Page | 8
Data Merge Wizard

Currently the three channels associated with this data are in separate bands. The Data Merge
wizard will join these bands into one .PIX file.
Load the multispectral orthoed imagery into Focus.
Open the Data Merge Wizard by clicking Tools Data Merge

Page | 9
Page | 10
Pansharpen

In Focus click on Tools Algorithm Librarian PANSHARP2

Page | 11
Page | 12

You might also like