MultiSpec is an image processing tool to display and analyze geospatial images. It is currently has most of the features in the Macintosh and Windows desktop applications with the same name. More information can be found at the MultiSpec site.
The MultiSpec Reference contains the documentation for MultiSpec.
Tutorials on using the Processor->Display Image menu item are at:
- Tutorial 1. Basic display of images.
- Tutorial 2. Image enhancement features.
A tutorial on Unsupervised Classification is at:
- Tutorial 3. Uses the Processor->Cluster menu item.
A tutorial on Supervised Classification is at:
- Tutorial 4. Uses the Processor->Statistics menu item (and several more menu items).
Other tutorials high lighting features in MultiSpec are:
- Tutorial 5. Combining Separate Image Files into a Single Multispectral Image File.
- Tutorial 6. Overlay Shape Files on Image Window.
- Tutorial 7. Selecting Areas in Image Window and the Coordinate View.
- Tutorial 8. Creating Vegetation Indices Images.
- Tutorial 9. Handling HDF and netCDF Formatted Image Files.
- Tutorial 10. Visualizing Growing Degree Day (GDD) Images.
The latest version (1.5) adds the ability to use the statistics enhancement and feature extraction processors. Note that the feature extraction processor does not include the preprocessing (projection pursuit) algorithm yet. These processors are discussed on pages 28-39 and 133-139 in the MultiSpec Reference document.
Version 1.46 includes improvements in zooming speed for larger images (those larger than 2000 lines/columns). This version will handle full scene Landsat images easier. Additional messages about process to follow have been added for the upload file feature and when one exits MultiSpec.
Version 1.45 adds the ability to plot the histograms for the training classes and fields and provides a different approach to display the training/test field and shape file vectors so that the lines do not become thick as one zooms in. There is also consistency now in the ability to strike the enter/return keys to be a quick way to select the OK button in all dialog boxes.
Version 1.4 adds the ability to select polygonal type training and test areas for supervised classifications, usage of the Mahalanobis algorithm as a classifer option, the ability to read NASA's PDS (Planetary Data System) files such as those from the MARS rovers and allows one to read a broader range of ENVI formatted image files.
Version 1.3 added the ability to create training and test areas in an image for supervised classifications, list the class statistics and list the class histograms. The Project Window is available in this version.
Version 1.2 added the ability to use the List Results and Feature Selection processors. One can also graph selected areas in the image window using the Window->New Selection Graph menu item.
Version 1.1 added the ability to use the Statistics and Classify processors. One can also import Project files created by the Macintosh or Windows desktop versions.
Researchers should cite this work as follows: