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Features not implemented in Version 1.1
- JPEG 2000 support
- NITF 2.0 and 1.0 support
- Encrypytion support
- NITF file writing capability
- Viewing images with look-up-tables (LUT)
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NEAT
NITF Exploration and Analysis Tool
Developed by Pranab Banerjee of the Space Dynamics Laboratory, NEAT (NITF
Exploration and Analysis Tool), is an easy to use GUI-based
tool to view and explore NITF
2.1 (MIL STD 2500B) compliant files.
Version 1.1 has the following features:
- A flexible and powerful commandline interface
- Interactive OpenGL accelerated image viewer (zoom, rotate, filter, etc.)
- Ability to save images in various formats
- Works under Python 2.2 and 2.3
- Ability to view all header information–main header, image subheader(s),
graphic subheader(s), text subheader(s)
- Ability to view CMETA TRE (Tagged Record Extension) for SAR data
- 1 bit monochrome, 8 and 24 bit uncompressed image viewing
- 8 and 12 bit JPEG compressed image viewing
- Blocked imagery (uncompressed or JPEG compressed) viewing
- Multi-band image (uncompressed or JPEG compressed bands) viewing
- Experimental CGM viewing (through the open source GPLOT package)
- Works as a web browser helper application
Developed under Linux using Python, NEAT has been tested to run under Mandrake
9.0, 9.1, 10.0, and Simply MEPIS 2004 Linux distributions.
External Dependencies:
- Python 2.2 or 2.3
- wxPython for the GUI
- vtk (through its Python wrapper) including wxVTKRenderWindow support
- Open source "netpbm" package (included in almost every Linux distribution)
for image format conversion
- gv PostScript viewer
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