1. ENVI 4.5 Product Updates

2. Visual Information Solutions ENVI 4.5 Value Proposition ArcGIS Interoperability: Geodatabase and ArcMap access Fx enhancements: Improved end-to-end workflow New analytical spectral tools: SID and ICA are powerful tools for image scientist Continued data format support: Worldview, NITF and TFRD updates AccessAnalyzeShare

3. Visual Information Solutions ENVI and ArcGIS Interoperability ENVI users will be able to: Access and read from ArcGIS Geodatabases Write out to geodatabases Supports enterprise, personal, and file Geodatabase types Launch ArcMap and create map compositions directly from ENVI

4. Visual Information Solutions New Sensor and Data Support WorldView-1 data in GeoTIFF, NITF, and Stereo Pair. NITF for 32- and 64- bit Linux systems Full TFRD support in ENVI Zoom Remote Data Access in ENVI (OGC/JPIP), not just in FX

5. Visual Information Solutions New Feature Extraction Functionality Programmatic access to Fx provides batch mode processing for production facilities and users with ENVI/IDL expertise – envi_doit, ‘envi_fx_doit’ Vector and Attribute Export allows customers to use Fx segmentation results in other analyses and workflows – export segments as features prior to classification

6. Visual Information Solutions New Feature Extraction Functionality Summary Panel provides quick, practical, portable results

7. Visual Information Solutions New Feature Extraction Functionality Vector Smoothing for cleaner and smoother results, with fewer vertices and generalized features – Douglas-Peucker based algorithm – works on line and polygon output – user controls smoothing threshold in pixels Create new vectors directly in ENVI Fx

8. Visual Information Solutions New Feature Extraction Functionality Save/Restore training data for supervised classification Reuse training sets on libraries of imagery Restore multiple training sets to build multi-source feature library Use saved training data as input to batch Fx

9. Visual Information Solutions New Spectral Algorithm – Independent Component Analysis (ICA) Kaolinite: (ICA band 6) Alunite: (ICA band 1) Cuprite, NV - AVIRIS ICA transforms a set of mixed random signals into components that are as mutually independent as possible Independent components uses higher order statistics than Principal Components. Better distinguishes weak signals from background noise.

10. Visual Information Solutions Independent Component Analysis ICA can be used to find and separate hidden (noise) component

11. Visual Information Solutions Independent Component Analysis Other applications of ICA – anomaly detection – dimension reduction – noise reduction – classification – endmember extraction Programmatic interface – envi_doit, ‘envi_ica_doit’ – envi_doit, ‘envi_ica_inv_doit’

12. Visual Information Solutions New Spectral Algorithm – Spectral Information Divergence (SID) Classification technique (similar to SAM) that uses a divergence measure to match pixels to reference spectra SID can characterize spectral similarity and variability more effectively than SAM As with all spectral tools, programmatic access is provided

13. Visual Information Solutions ENVI 4.5 with IDL 7.0 A single, cross-platform IDL development environment that looks and behaves like a native application The foundation for new functionality that will continue to improve the usability of ENVI + IDL