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

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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

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