MultiSpec 12.21.06 review

MultiSpec is a processing system for interactively analyzing Earth observational multispectral image data such as that produced by the Landsat series of Earth satellites and hyperspectral image data from current and future airborne and spaceborne systems such as AVIRIS.

License: Freeware OS: Mac OS X File size: 0K Developer: Purdue Research Foundation Price: $0.00 Updated: 26 Dec 2006

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MultiSpec is a processing system for interactively analyzing Earth observational multispectral image data such as that produced by the Landsat series of Earth satellites and hyperspectral image data from current and future airborne and spaceborne systems such as AVIRIS.

The primary objective of MultiSpec is as an aid to export the results of our research into devising good methods for analyzing such hyperspectral image data. It has also found significant use in other applications such as multiband medical imagery and in K-12 and university level educational activities. There are currently in excess of several thousand known, registered users.

MultiSpec satisfies the following design goals:The implementation should be on a readily available computer platform which has adequate processing power, but is financially within the reach of any Earth science researcher (i.e., computer platforms < $2).

The system should be easy to learn and easy to use, even for the infrequent user, using the most modern of software environments.The system should provide for easy import of data in a variety of formats, and easy export of results, both in thematic map and in tabular form.

What's New:
Processor - Cluster
A fix was made for a significant bug which was found earlier today that causes the statistics generated by the cluster processor to not be saved to project files correctly. Therefore the classify processor would not work correctly with these statistics. This bug was introduced in 6.20.06 version when the ability to handle 32-bit and 64-bit data were added.
Processor - Classify
The message in the classify output listing that the cluster fields cannot be used because there are no coordinates was removed. This caused confusion since the statistics are being used. One just cannnot classify the cluster field areas; that message is given if any training and/or test results listed.