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Wednesday, September 09, 2015
ENVI 5.3 is packed full of new features and functionality that will help you do more with your geospatial data than ever before. Learn how the newest version of ENVI can help you improve your geospatial analysis!
ENVI 5.3 includes the new and enhanced features listed below. See the following sections:
ENVI reads and displays imagery from the following sensors and data formats:
Use the Generate Point Clouds by Dense Image Matching tool to create point clouds in LAS format from two or more satellite images taken from different view points. The following sensors are supported:
.til
This tool runs on Windows 64-bit platforms and requires a separate license for the ENVI Photogrammetry Module (formerly the ENVI Orthorectification Module), which also includes access to Rigorous Orthorectification.
The QUick Atmospheric Correction (QUAC)® algorithm was updated to the latest baseline source code from Spectral Sciences, Inc. The following reference summarizes the updated algorithm:
Bernstein, L. S., X. Jin, B. Gregor, and S. Adler-Golden. "Quick Atmospheric Correction Code: Algorithm Description and Recent Upgrades." Optical Engineering 51, No. 11 (2012): 111719-1 to 111719-11.
It contains the following enhancements to improve the accuracy of atmospheric correction:
QUAC also works with images where pixels are masked out or set to NoData, NaN, and Infinity.
A higher-resolution version of the GMTED2010 DEM (7.5 arc seconds) is available for download from the Exelis VIS website. We recommend using this version for RPC Orthorectification and automatic tie-point generation in Image Registration because it will significantly improve the accuracy of the results.
The Normalized Difference Mud Index (NDMI) highlights muddy or shallow-water pixels. This index was originally designed as a filter to exclude those pixels and to improve the accuracy of QUick Atmospheric Correction (QUAC)®.
The Modified Normalized Difference Water Index (MNDWI) enhances open water features while suppressing noise from built-up land, vegetation, and soil. Xu (2006) reported that the MNDWI produced better results than the Normalized Difference Water Index originally developed by McFeeters (1996) in enhancing and extracting water from a background that is dominated by built-up land areas.
The Spectral Indices tool now lists only the spectral indices that are available to compute from an input raster, based on its wavelength metadata. It previously listed all spectral indices, then issued an error message if you selected any that could not be computed for the input raster.
Numerous performance enhancements have been included in this release, improving the speed and efficiency of ENVI when working with multiple datasets and raster series animation.
ENVI imagery can now be saved to Geospatial PDF files. Select File > Chip View To > Geospatial PDF to capture all georeferenced data layers displayed in the current view, or use File > Export View To > Geospatial PDF to select and export entire georeferenced raster layers.
Use the Regrid Raster Series tool (under the Spatiotemporal Analysis folder in the Toolbox) to define a custom grid and to regrid a raster series to it. A custom grid definition is a combination of a coordinate system, spatial extent, pixel size, number of rows and columns, and/or tie-point pixel and map coordinates.
Right-click on the Classes folder of an ENVI classification image and select Edit Class Names and Colors to edit the default names and colors of individual classes.
The Clump Classes and Sieve Classes dialogs allow you to preview processing results.
The Edit ENVI Header dialog has been replaced by the Set Raster Metadata dialog. Use this to edit the values of ENVI header fields and to save the results to an ENVI header file. In the Toolbox, select Raster Management > Edit ENVI Header to access the Set Raster Metadata tool.
The Jagwire product, available from Exelis VIS, provides a server that streams imagery and video for display and analysis. Use the redesigned and simplified Remote Connection Manager to connect to Jagwire servers, perform spatial and time queries on their contents, and open raster data that represents properties of geographic locations.
The File Selection dialog now includes buttons for subsetting by raster, by vector, by region of interest (ROI), or by map coordinates. Click the Spatial Subset button in the File Selection dialog to access these options.
The File > Save As menu option now includes buttons for creating a masked raster file. A mask can be defined from another raster, a vector, or one or more ROIs. Click the Mask button in the File Selection dialog to access these options.
The ENVI LiDAR application has been merged into ENVI. To open the ENVI LiDAR window select LiDAR > Launch ENVI LiDAR from the Toolbox, or select Display > ENVI LiDAR from the ENVI menu bar.
Analyze data over time with a spatiotemporal Series Profile. From the main menu, select Display > Profiles > Series to launch the plot window.
ENVI profiles now provide adjustable smoothing to plotted data. Select Options > Curve Smoothing to display the slider control.
ENVIQUACTask and ENVI_QUAC_DOIT were updated to the latest algorithm from Spectral Sciences, Inc., documented in the following reference:
The following table lists new ENVITasks. You can also publish these tasks to client applications using ENVI Services Engine.
Task
Description
Object/Method
.las
.ini
Use the following objects and methods to add progress notification, or messaging, to ENVI API scripts.
See the "Custom Tasks with Abortable Progress Reports" topic in ENVI Help for instructions on creating custom tasks with the option to display a progress report and an option to abort (cancel) the task.
© 2015 Exelis Visual Information Solutions, Inc., a subsidiary of Harris Corporation. All Rights Reserved. This information is not subject to the controls of the International Traffic in Arms Regulations (ITAR) or the Export Administration Regulations (EAR). However, this information may be restricted from transfer to various embargoed countries under U.S. laws and regulations.
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