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 multi-spectral, 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.

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In this course you’ll first touch on the basics of working with ENVI. Then you will be given instruction on data preprocessing – getting your data ready to analyze. This will include exercises on image registration. The bulk of the class will cover various topics related to the analysis of vegetation with multispectral and hyperspectral data. Data from various multispectral sensors will be used in a mixture of lectures and exercises. You will also be introduced to the newest ENVI paradigm – ENVI Zoom.

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

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Put the power and flexibility of ENVI to work solving your toughest image exploitation problems.  ENVI for Defense and Intelligence is designed for Geospatial and Imagery Analysts to introduce ENVI as a tool for imagery exploitation and analysis.  Primary topics will include using ENVI for multispectral imagery analysis and target detection. You will also be introduced to the new ENVI paradigm - ENVI Zoom.  Additional topics include the NITF module and SPEAR tools, which operate using a workflow approach.

Prerequisite: Basic remote sensing knowledge is necessary to take advantage of what this course has to offer.

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Extending ENVI with IDL is a three-day course for remote sensing scientists, engineers and developers who wish to incorporate their own algorithms and workflows into ENVI. This course provides an overview of the programming constructs available in IDL, the language in which ENVI is written, as well as the tools necessary for a user to extend ENVI with IDL, including ENVI library routines, custom file readers and writers, batch mode programs and user functions. Students should be familiar with ENVI, ideally having taken Exploring ENVI. Several ENVI programs are developed in class. Though it is helpful to have programming experience in IDLfamiliarity with basic programming topics in any language is suitable.

Prerequisite: Exploring ENVI (or equivalent experience) and familiarity with basic programming.

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Discover the power of the spectral analysis tools that make ENVI the industry leader in hyperspectral imagery exploitation.  Hyperspectral data analysis allows the identification of materials on the Earth’s surface due to the detailed sampling of the electromagnetic spectrum by hyperspectral sensors.  This intensive four-day course focuses first on understanding the theory behind hyperspectral imaging, and then challenges the student to apply the theory with ENVI’s advanced analysis and mapping algorithms. Topics covered include image classification, principal components analysis, Minimum Noise Fraction, spectral libraries, spectral signatures, whole-pixel and sub-pixel analysis, and ENVI’s powerful endmember extraction algorithms. You’ll use data from several of the most widely used sensors, including AVIRIS, AISA and HyMap.

Prerequisite: A basic level of remote sensing knowledge is necessary to take advantage of what this course has to offer. This is an advanced ENVI class; a working knowledge of ENVI is desirable.

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Do you have SAR (Synthetic Aperture Radar) data you need to process? In this course you will learn how to use the SARscape module of ENVI to generate meaningful SAR products from different kind of SAR data. This four day course will focus on different aspects of SAR processing such as:

• Basic SAR Processing (focusing, multilooking, filtering, geocoding,…)
• SAR and DinSAR interferometry
• Pertinent Scatterer (PS) approach
• Polarimetry (basic polarimetry processing and PolInSAR)

These different topics will be covered through a series of demonstrations and exercises involving different kind of SAR data.

Prerequisite: A basic understanding of the radar terminology is required to take advantage of what this class has to offer.

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