
This lecture will introduce you to the course, and you will have access to free imagery provided by the European Space Agency as well as access to a trial version of Geomatica. Using the free images (Sentinel-2 satellite images), you will be able to view the imagery, improve how you view the imagery, and make use of tools to visualize an image's geographic component and its numerical component.
Viewing your imagery in its native format is the first step in Focus. We will use Focus within Geomatica to view our satellite imagery in its native distribution format, and view the different possible methods to opening imagery in Focus. Additionally, we will examine the different distribution formats you might encounter with satellite imagery.
To better view your images and their contents, we need to import each one of our images to the PCIDSK format. By importing our images to the PCIDSK format, we optimize the viewing of the imagery and centralize all the different files related to an image into a single file for easy handling. The benefits of using the PCIDSK format and how to import to the PCIDSK format are described in this lecture.
There are a number of different arrangements of image bands that can be applied to produce natural and false composite RGB images. These different image compositions can be used to highlight features of interest in the landscape. In this lecture, we'll examine the different image management components in Focus and how to configure and view RGB images.
When using Focus in Geomatica to visualize your imagery, there are many tools that can be used to control and complement how you view imagery. The following lesson provides an overview of the many tools available and describes mouse functionality related to how we view our imagery.
Histogram stretching is a technique applied to improve how we visualize our imagery. Often without histogram stretching, our imagery appears too dark and as a result it's difficult to interpret features in our images. In this lesson, the theory of the histogram stretching technique is explained and a demonstration is provided on how to stretch a histogram.
Satellite imagery provides much more than just beautiful pictures of the Earth. Much of its valuable information can be found in its pixels across all the channels. The following demonstrates how to view the numerical values of pixels and compute descriptive statistics.
The following provides an overview of a variety of tools that can be used to examine the geographic component of satellite imagery. This includes examining the coordinates, performing measurements, other tasks.
There are a number of default settings in Focus that control how imagery is loaded and viewed. This lesson highlights some of the available options in Focus to modify how you load and view your imagery to improve user experience.
This course is offered by PCI Geomatics, using Geomatica Desktop Image Processing and Analysis Software
Overview: Are you a student learning remote sensing, or does your organization make use of satellite imagery to generate image products or extract valuable information for actionable intelligence? This course will provide you with the basics on how to visualize satellite imagery and its ancillary contents.
Who is the intended audience? This course is intended for university students or professionals who are new to geographic information systems and remote sensing. After this short course you’ll be able to visualize satellite imagery using professional image processing and analysis software.
What Materials will be used? Students will be able to work with a licensed version of Geomatica as well as sample data sets to follow along with the instructor. Students are expected to install Geomatica on their computer and work with a copy of the data which is provided.
How long will it take me to complete the course? The course materials (videos) run for a little less than an hour. You will likely play the videos several times and review certain steps. The expected time to complete the course is 2-3 hours.