snaphu 2.0.1-1 source package in Ubuntu
Changelog
snaphu (2.0.1-1) unstable; urgency=medium [ Bas Couwenberg ] * Don't delete bin directory in clean target, included in upstream source. [ Antonio Valentino ] * New upstream release. * debian/tests/control: - mark test as superficial using Restrictions * debian/patches: - refresh all patches * Bump debhelper from old 11 to 12. * Remove obsolete fields Name from debian/upstream/metadata. -- Antonio Valentino <email address hidden> Sun, 08 Sep 2019 11:08:52 +0000
Upload details
- Uploaded by:
- Debian GIS Project
- Uploaded to:
- Sid
- Original maintainer:
- Debian GIS Project
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
snaphu_2.0.1-1.dsc | 1.9 KiB | afbb95407f567893965b31916c0e861c2cee462456539ac3ca157db953dea517 |
snaphu_2.0.1.orig.tar.gz | 164.5 KiB | ed2a05d97a05795d489ccb1653459fcd4b73a349ec2759410be280bfdde2e4b5 |
snaphu_2.0.1-1.debian.tar.xz | 6.1 KiB | 2f4c7c630be223f336f1fa704c7985186bf64643479dc7ead96e5a80f3a672d5 |
Available diffs
- diff from 2.0.0-1 to 2.0.1-1 (8.3 KiB)
No changes file available.
Binary packages built by this source
- snaphu: 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.
- snaphu-dbgsym: debug symbols for snaphu