FLAASH was developed by Spectral Sciences, Inc., a world leader in optical phenomenology research, in collaboration with U.S. Air Force Research Laboratory (AFRL) and Spectral Information Technology Application Center (SITAC) personnel. Spectral Sciences has been integral to the development of modern atmospheric radiation transfer models, and has worked extensively in collaboration with AFRL personnel on MODTRAN since its inception in 1989.
Accuracy and Convenience
- Correct multispectral and hyperspectral images.
- Remove the obscuring effects of the atmosphere more accurately than ever before.
- Correct data from any hyperspectral sensor that measures near infrared wavelengths.
- Correct your images for atmospheric water vapor, oxygen, carbon dioxide, methane, ozone, and molecular and aerosol scattering.
- Produce useful auxiliary information, including a column water vapor image, a cloud map, and a visibility value for the scene.
- Correct images collected in either vertical (nadir) or slant viewing geometries.
- Run FLAASH from its easy-to-use ENVI interface. FLAASH is available exclusively as a plug-in to the ENVI image processing software by ITT.
An Unprecedented Algorithm
- Handle challenging atmospheric conditions such as clouds, haze, and conditions varying across an image with state-of-the-art techniques.
- Profit from the very latest MODTRAN radiation transfer code. A unique MODTRAN solution is computed for each image.
- Take advantage of the wealth of information contained in hyperspectral imagery, by having FLAASH calculate an independent correction for each pixel.
- Minimize artifacts commonly seen in results from other algorithms with FLAASH's easy-to-use, innovative, and adjustable spectral polishing.
- Correct for the mixing of radiance among adjacent pixels caused by atmospheric scattering (i.e., the adjacency effect).
- Apply a wavelength calibration to hyperspectral images as part of the FLAASH correction.
More Info on FLAASH
Documentation: A FLAASH installation includes detailed online documentation which provides step-by-step advice for selecting FLAASH parameters, a tutorial, and an example dataset.
Hardware Requirements: FLAASH requires 64 Mb of RAM and sufficient disk space for slightly over four data cubes.
Supported Platforms: FLAASH is supported on Windows 2000 and XP, Solaris 8 and 9, RIX 6.5.1, and Linux Red Hat 9 operating systems.
Batch Mode: ENVI's FLAASH interface was not designed in a way that makes FLAASH available in ENVI's batch mode. Nevertheless, it is possible for our Global Services Group to create a FLAASH solution for batch processing.
Licensing: The FLAASH module to ENVI is available for single user node locked licenses or network floating licenses.
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