snaphu 2.0.6-1 source package in Ubuntu

Changelog

snaphu (2.0.6-1) unstable; urgency=medium

  [ Antonio Valentino ]
  * New upstream release.
  * Add lintian-overrides for "superficial-tests".
  * Fix d/copyright formatting.
  * debian/copyright:
    - update copyright dates.
  * Refresh all patches.
  * Bump debhelper-compat version to 13.

  [ Bas Couwenberg ]
  * Bump Standards-Version to 4.6.2, no changes.
  * Enable Salsa CI.

 -- Antonio Valentino <email address hidden>  Sat, 10 Jun 2023 16:26:38 +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 Pocket Published Component Section
Mantic release multiverse misc

Downloads

File Size SHA-256 Checksum
snaphu_2.0.6-1.dsc 2.0 KiB a4eda2c579fcf6c87de7dd04b18cbdea698855821faac0465ba28a0ca6441e45
snaphu_2.0.6.orig.tar.gz 169.3 KiB ce481c8d8d4c1e8fffeb5a9052a68bf48e6dd955293a30f6769d5bbb4df7a998
snaphu_2.0.6-1.debian.tar.xz 6.2 KiB ed57ec489399ce7c262b4a304067f0584bf2e5e251fc0307c80768d09cf3d046

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 1000000 pixels in
 the input interferogram.

snaphu-dbgsym: debug symbols for snaphu