Exploring ENVI- Bracknell, UK


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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.
PREREQUISITES: A basic level of remote sensing knowledge is necessary to take advantage of what this course has to offer.

Background and Introductions Fundamentals of ENVI Creating and Managing Image Displays Using the Mouse Spatial and Spectral Subsetting Modifying ENVI's configuration file Reading Raster Data ENVI Header Files Querying data from a display Managing Files Image Display Concepts Contrast Stretching Color Tables Density Slices Animation ENVI Zoom Displaying and working with data The ENVI Zoom interface Display Tools Chipping and Saving Feature Extraction (Object-based Classification) Rule-based Classification Editing Vector layers Example Application: Vegetation Analysis Metafiles Preprocessing multispectral data Calibration Atmospheric Correction Image Linking and Dynamic Overlays Topographic Modeling Image Registration Masks NDVI 3-D Surface Modeling	Vector Data in ENVI Displaying Querying Editing Vector to raster conversion Intelligent Digitizer - linear feature extraction Contouring a Digital Elevation Model Image to Map Registration Ground Control Points Warping and Resampling imagery Creating a new projection Regions of Interest and Classification Scatter Plots ROI Tool Supervised Classification Post Classification tools Principal Components Analysis Introduction to Hyperspectral Analysis Z-Profiles and Spectral Libraries Whole Pixel Analysis (Spectral Angle Mapper) Endmember Extraction (SMACC) Extending ENVI - the basics Band and Spectral Math Batch Mode User Functions Data Fusion and Color Transforms Saturation Stretches Synthetic Color Pan Sharpening Mosaicking Annotation and Hardcopy Output Wrap-up and Evaluations
Class Hours: 9:30 AM to 4:30 PM
Registration Fee: £1195.00 See *Academic Pricing* Tab for Educational Rates and Qualification Information.