4 Day AIG Hyperspectral Course Syllabus

Hyperspectral Workshop: The AIG hyperspectral workshops are four day intensive courses utilizing a mixture of lecture, discussion, and interactive exercises. Click here to see the hyperspectral workshop schedule. The focus of the workshops is hyperspectral data analysis and processing. The latest hyperspectral software, the "Environment for Visualizing Images" (ENVI), will be used to illustrate key concepts and provide participants with hands-on experience. The first day of the workshop is designed to bring the new or casual ENVI user up to speed on all of the latest processing capabilities and methods in ENVI. Advanced students will also benefit from this portion of the course through review of ENVI basics pertinent to hyperspectral processing and familiarization with advanced ENVI capabilities. The ENVI lectures and practical exercises prepare students to maximize their return in the final three days of the course, which gives participants in-depth, hands-on instruction in hyperspectral data processing, analysis, and interpretation. The fundamentals and principles of imaging spectrometry will be presented and advanced methodologies will be discussed and demonstrated. Also see the CSES Hyperspectral Workshop homepage for details on collaborative AIG/CSES hyperspectral courses offered at the CSES facility.

ENVI Topics covered in the workshop will include:

ENVI Basics

ENVI Concepts and Image Processing Approach

User Interface, Menus, Functionality

ENVI configuration and customization

Managing ENVI data and windows

Data input

Basic image display, enhancements, and Analysis

Introduction to ENVI's advanced analysis methods

ENVI Practical Exercises

Several Exercises Demonstrating End-to-End Image Analysis

Scientific topics covered in the workshop will include:

Spectral properties of materials and spectral interpretation methods

Spectral Libraries and Spectral Variability

Hyperspectral Basics and Hyperspectral Data Processing Strategies

Atmospheric corrections and radiance to reflectance inversions for hyperspectral data

Basic Hyperspectral Data Analysis

Introduction to Spectral Mixture Analysis

Convex Geometry and Mixing

MNF Transforms, Data Dimensionality, and Null Space

Data-derived Endmember Determination, Pixel Purity, and n-Dimensional Visualization

Partial Unmixing, Class Collapsing, and Matched Filtering

Spectral Mapping using Image or Spectral Library Endmembers

Spectral Feature Analysis and Spectrum Identification

Recent case histories using hyperspectral systems

Hands-on exercises using ENVI to reinforce class material

AIG Limited Liability Company, 4450 Arapahoe Ave, Suite 100, Boulder, Colorado 80303, Phone: 303-543-9960 FAX: 303-543-9970, Email: info@aigllc.com.