jCube processes "cubes" of multi-temporal imagery. The image cuves have at least 3-dimensions: x,y, and time, and often are 4-dimensional (x, y, color, and time).
Multi-temporal imagery is a time series of images of a specific area of interest or subject. The idea in any multi-temporal processing is to somehow combine the many images into something new an more useful than the individual images. Some examples are:
- enhance spatial resolution and dynamic range
- track animal migrations
- monitor geological changes, such as shorelines (example below)
Left: Single image of upper Gulf of California. Right: multiple images processed into a inter tidal zone map.
The number of images varies from a few to hundreds. The time between consecutive images may be seconds to years, depending on the application.
jCube is accessed by logging on a remote server over an Internet connection. The links on the left lead to more information and instructions for using jCube. The Quick start link takes you through a sample data set from start to finish. After this exercise you can repeat with other data sets, or use jCube on your own data.
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Last update of this page was on March 9, 2009
Contact jCube@jOmegak.com for more information about jCube.
© 2008 jOmegak
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