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Spectral Analysis wtih ENVI - Discover the power of the spectral analysis tools that make ENVI the industry leader in imagery exploitation. This four-day course focuses on understanding the theory behind spectral imaging, and then how to use ENVI’s analysis and mapping algorithms for today’s image analysis applications. Topics covered include multispectral image classification, principle components analysis, spectral libraries, spectral signatures, whole-pixel and sub-pixel mapping, and ENVI’s powerful endmember extraction algorithms. We will use data from several of the most widely used sensors, including AVIRIS, AISA and HYMAP.
Prerequisites: Working knowledge of ENVI and a good understanding of multispectral imaging and remote sensing knowledge is necessary to take advantage of what this course has to offer.
Topics Include:
- Multispectral Concepts and Analysis
- Multispectral Image Classification
- Evaluating Classification Results
- Georeferencing and Mosaicking
- Data Preprocessing - Converting from Radiance to Reflectance
- Principle Components Analysis
- Spectral Libraries
- Whole and Sub Pixel Analysis
- Identifying Image Derived Endmembers
- Identifiying Image Endmembers with the Spectral Analyst
Cost: $ 2,000
See Academic Pricing tab for details.