Exploring ENVI Do you need to quickly get up-to-speed on the full-featured functionality offered by ENVI, the premier remote sensing exploitation package? In this course you’ll learn much about the core functionality of ENVI. You will also be given an introduction to hyperspectral data analysis that can be used as a stepping-stone for learning about ENVI’s advanced hyperspectral analysis capabilities. Data from various multispectral, hyperspectral and radar sensors, including ASTER, AVIRIS, Quickbird, RadarSat, AVHRR, SPOT, Landsat, TMS, and USGS DEM data are used in a mixture of lectures and exercises. You will be shown ways to extend ENVI using batch processing, Band and Spectral Math, and Feature Extraction among other tools. And you will be introduced to the new ENVI paradigm – ENVI Zoom
Prerequisite: A basic level of remote sensing knowledge is necessary to take advantage of what this course has to offer. - Fundamentals of ENVI
- Reading Raster Data
- Image Display Concepts
- ENVI Zoom
- Feature Extraction (Object-based Classification)
- Example Application: Vegetation Analysis
- Vector Data in ENVI
- Image to Map Registration
- Regions of Interest and Classification
- Principal Components Analysis
- Introduction to Hyperspectral Analysis
- Extending ENVI - the basics
- Data Fusion and Color Transforms
- Mosaicking
- Automation and Hardcopy Output
Cost: $1,725 See Academic Pricing for additional details. |
