imaging-nitf | Pure Java NITF File Reader
kandi X-RAY | imaging-nitf Summary
kandi X-RAY | imaging-nitf Summary
imaging-nitf is a Java library. imaging-nitf has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
Pure Java National Imagery Transmission Format (NITF) file support. This implementation provides parsing for NITF 2.0 and NITF 2.1 files. NATO Secondary Imagery Format 1.0 (NSIF 1.0) is effectively NITF 2.1 and is also supported.
Pure Java National Imagery Transmission Format (NITF) file support. This implementation provides parsing for NITF 2.0 and NITF 2.1 files. NATO Secondary Imagery Format 1.0 (NSIF 1.0) is effectively NITF 2.1 and is also supported.
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Quality
Security
License
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Support
imaging-nitf has a low active ecosystem.
It has 23 star(s) with 31 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
imaging-nitf has no issues reported. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of imaging-nitf is current.
Quality
imaging-nitf has no bugs reported.
Security
imaging-nitf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
imaging-nitf is licensed under the LGPL-2.1 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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imaging-nitf releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed imaging-nitf and discovered the below as its top functions. This is intended to give you an instant insight into imaging-nitf implemented functionality, and help decide if they suit your requirements.
- Build the command list
- Returns the length of the parameter list
- Searches for a cgm identifier
- Process an image
- Reads the data block
- Creates a DataExtension for a NITF data extension
- Makes a basic Desension object with the basic metadata
- Gets the user defined subheader
- Get the shapefile class name
- Create a default NITF file header
- Creates default security metadata for NITF file
- Reads a single band image
- Reads data from a block
- Adds a data extension segment
- Read image mask
- Returns a default image segment
- Skips bytes
- Returns a consumer which allows to generate CSS data
- Read the mode
- Deserialize the mode
- Unmarshal the contents from the input stream
- Returns the length of the image header
- Builds the lookup map from the XML file
- Renders the VDC
- Populate security metadata
- Parses the simple lookup data from an input stream
Get all kandi verified functions for this library.
imaging-nitf Key Features
No Key Features are available at this moment for imaging-nitf.
imaging-nitf Examples and Code Snippets
No Code Snippets are available at this moment for imaging-nitf.
Community Discussions
No Community Discussions are available at this moment for imaging-nitf.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install imaging-nitf
You can download it from GitHub.
You can use imaging-nitf like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the imaging-nitf component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use imaging-nitf like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the imaging-nitf component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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