The Hyperspectral Image Analysis Toolbox (HIAT) is intended for the analysis of hyperspectral and multispectral data. HIAT is a collection of functions that extend the capabilities of the MATLAB numerical computing environment. It has been implemented for the MacIntosh and PC-Windows systems using MATLAB. The purpose of this toolbox is to provide the user with an environment where can utilize different image processing methods for hyperspectral and multispectral data. HIAT provides standard image processing methods such as discriminant analysis, principal component, euclidean distance, and maximum likelyhood. In addition, image processing methods developed by research done at the Laboratory of Applied Remote Sensing and Image Processing at the University of Puerto Rico at Mayagüez is also included.

Features

• Image formats for loading and saving: .mat, .bsq, .bil, .bip, .jpg, with ENVI header info and .tiff.
• Pre-Processing algorithms: Resolution Enhancements and Principal Component Analysis Filter.
• Feature Extraction/Selection Algorithms: Principal  Components Analysis, Discriminant Analysis, Singular Value Decomposition Band Subset Selection, Information Divergence Band. Subset Selection, Information Divergence Projection Pursuit, Optimized Information  Divergence Projection Pursuit.
• Classifiers: Euclidean Distance, Fisher's Linear Discriminant, Mahalanobis Distance, Maximum Likelihood, Angle Detection.
  
• Post-Processing Algorithms: supervised and unsupervised ECHO classifier.  ECHO (2x2, 3x3, 4x4).
• Supported Platforms: UNIX/Linux, MS-Windows 2000 and XP, Macintosh (OS X 10.1.4 and higher).
• Online help documentation and a hyperspectral data set.

Requirements

• MATLAB 6.5, R13 or higher
• Image Processing Toolbox of MATLAB
  
• 512MB RAM.

Download and Install the Hyperspectral Image Analysis Toolbox

The software is available for downloading to members of the hyperspectral image analysis and related research communities for non-commercial purposes only.   It is distributed as a 17.1MB zip file for MATLAB and 135MB for the standard alone version.

Click here to download for the MATLAB version.
Click here to download the standard alone version.

Installation Instructions for MATLAB version

1. Create a directory in which you would like to place the software (e.g., C:\HIAT  or ~/HIAT).
2. Move the zipped toolbox to this directory.
3. Unzip the software.  This will create a directory called HIAT 2.0 which contains the precompiled matlab pcode.  The documentation is in a directory called hyper_help; to view the documentation locally, load the file toolbox_folder/hyper_help/hyper_product_page.html in your browser.
   

1. After following the steps of Installation Instructions  open a session of MATLAB.
2. In the MATLAB current directory  path change to the path where you install the toolbox.
3. To run HIAT type in the MATLAB command prompt: start.
   

Installation/Running Instructions for standard alone version

1. Unzip the file HIAT_V2_SAV.zip.
2. Double click in the file MCRInstaller.exe included downloaded (this file include the necessary information from MATLAB to run HIAT)  an install the files in a place where you have access permissions.
3. Double click in the file HIAT_V2B.exe to run the toolbox (the first time it will extract some information into the folder HIAT_V2B_mcr).
   
4. Double click in HIAT_V2B.exe to run the toolbox.
   

Documentation

Documentation and software use guidelines can be viewed online, and are also included in the software download.
 

Example Images

Contributors

• Luís O. Jiménez, Professor, Electrical and Computer Eng'g, University of Puerto Rico at Mayagüez
• Miguel Vélez-Reyes,  Professor, Electrical and Computer Eng'g, University of Puerto Rico at Mayagüez
• Shawn Hunt, Professor, Electrical and Computer Eng'g, University of Puerto Rico at Mayagüez
• David Kaeli, Associate Professor, Electrical and Computer Engineering, Northeastern University
• Emmanuel Arzuaga-Cruz, Ph.D. student, Electrical and Computer Engineering, Northeastern University
• Samuel Rosario-Torres, CenSSIS-UPRM Software Engineer, University of Puerto Rico at Mayagüez
• Alexey Castrodad, Graduate Student, Electrical and Computer Eng'g, University of Puerto Rico at Mayagüez