MultiSpec

By Larry Biehl1, Abdur Rahman Maud1, Wei-Kang Hsu1, Tsung Tai Yeh1

1. Purdue University

Image processing application to display and analyze geospatial images

Launch Tool

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Archive Version 1.3
Published on 18 Dec 2015
Latest version: 3.6. All versions

This tool is closed source.

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Tools

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Abstract

MultiSpec is an image processing tool to display and analyze geospatial images. It is currently a small subset of the Macintosh and Windows application with the same name. More information can be found at the MultiSpec site.

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).  Note: Selecting polygonal  areas not implemented yet.

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.

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.
 
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.
 
The latest version (1.3) adds 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.

Cite this work

Researchers should cite this work as follows:

  • Larry Biehl; Abdur Rahman Maud; Wei-Kang Hsu; Tsung Tai Yeh (2022), "MultiSpec," https://mygeohub.org/resources/multispec.

    BibTex | EndNote

Tags

  1. Image Analysis
  2. Image processing
  3. Remote Sensing