How to Install and Uninstall snaphu Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 24,2024

1. Install "snaphu" package

In this section, we are going to explain the necessary steps to install snaphu on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install snaphu

2. Uninstall "snaphu" package

Please follow the instructions below to uninstall snaphu on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove snaphu $ sudo apt autoclean && sudo apt autoremove

3. Information about the snaphu package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: snaphu
Priority: optional
Section: multiverse/science
Installed-Size: 337
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Architecture: amd64
Version: 1.4.2-2
Depends: libc6 (>= 2.14)
Filename: pool/multiverse/s/snaphu/snaphu_1.4.2-2_amd64.deb
Size: 150238
MD5sum: a44641d38e7a5a4aa50e0e95946e95ac
SHA1: 401339cc5df814105d7af61f31b6f73481a8ae53
SHA256: 976948997c94b34f9ea17ca8ebbff65018d51626cd9f1d5aeab11c1de31e05c9
Description-en: Statistical-Cost, Network-Flow Algorithm for 2D Phase Unwrapping
Two-dimensional phase unwrapping is the process of recovering
unambiguous phase data from a 2-D array of phase values known only
modulo 2pi rad.
.
There are many applications, like Magnetic Resonance Imaging (MRI),
Synthetic Aperture Radar (SAR), fringe pattern analysis, tomography
and spectroscopy, which as part of their fundamental operation depend
upon the extraction of a phase signal from their input image. Usually
the phase is available in a form that suffers from 2-pi phase jumps
due to the use of the mathematical arctangent function, which produces
an inherently wrapped output. This wrapped phase is unusable until the
phase discontinuities are removed.
.
SNAPHU is an implementation of the Statistical-cost, Network-flow
Algorithm for Phase Unwrapping particularly suitable for SAR
interferometry applications. This algorithm poses phase unwrapping as
a maximum a posteriori probability (MAP) estimation problem, the
objective of which is to compute the most likely unwrapped solution
given the observable input data. Because the statistics relating the
input data to the solution depend on the measured quantity, SNAPHU
incorporates three built-in statistical models, for topography data,
deformation data, and smooth generic data. The posed optimization
problem is solved approximately with use of network-flow techniques.
.
As SNAPHU uses an iterative optimization procedure, its execution time
depends on the difficulty of the interferogram. In single-tile mode
the required memory is on the order of 100 MB per 1,000,000 pixels in
the input interferogram.
Description-md5: 6ac13ac4c3384f0d55c3268461aa73d3
Homepage: http://www.stanford.edu/group/radar/softwareandlinks/sw/snaphu/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu