From b52e8ea74acd502565d2592c9a88b85374ce9018 Mon Sep 17 00:00:00 2001 From: Scott Staniewicz Date: Mon, 4 Nov 2024 22:23:02 -0500 Subject: [PATCH] Merge documentation improvements from `joss` branch (#481) * Merge documentation improvements from `joss` branch * Add overview with figure * fix merge conflicts * fix link, add --strides note [skip ci] --- CONTRIBUTING.md | 2 +- README.md | 21 +++++++++++++++------ docs/figures/dolphin-modules.pdf | Bin 0 -> 45210 bytes docs/figures/dolphin-modules.png | Bin 0 -> 1866178 bytes docs/figures/dolphin-modules.ps | Bin 0 -> 373671 bytes docs/getting-started.md | 4 ++-- docs/index.md | 1 + docs/overview.md | 16 ++++++++++++++++ docs/references.bib | 30 +++++++++++++++++++++++------- mkdocs.yml | 1 + 10 files changed, 59 insertions(+), 16 deletions(-) create mode 100644 docs/figures/dolphin-modules.pdf create mode 100644 docs/figures/dolphin-modules.png create mode 100644 docs/figures/dolphin-modules.ps create mode 100644 docs/overview.md diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index ddfed929..5b1792c6 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -71,7 +71,7 @@ For bug fixes, a good practice is to write a test which fails with the current c ## Creating Documentation We use [MKDocs](https://www.mkdocs.org/) to generate the documentation. -The reference documentation is generated from the code docstrings using [mkdocstrings](mkdocstrings.github.io/). +The reference documentation is generated from the code docstrings using [mkdocstrings](https://mkdocstrings.github.io/python/) The dependencies for building and viewing the documentation locally can be installed: diff --git a/README.md b/README.md index ee35d08b..f144e669 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,7 @@ [![Pytest and build docker image](https://github.com/isce-framework/dolphin/actions/workflows/test-build-push.yml/badge.svg?branch=main)](https://github.com/isce-framework/dolphin/actions/workflows/test-build-push.yml) [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/isce-framework/dolphin/main.svg)](https://results.pre-commit.ci/latest/github/isce-framework/dolphin/main) +[![Documentation Status][rtd-badge]][rtd-link] [![Conda-Forge][conda-badge]][conda-link] [![PyPI platforms][pypi-platforms]][pypi-link] [![GitHub Discussion][github-discussions-badge]][github-discussions-link] @@ -13,6 +14,8 @@ [pypi-platforms]: https://img.shields.io/pypi/pyversions/dolphin [github-discussions-badge]: https://img.shields.io/static/v1?label=Discussions&message=Ask&color=blue&logo=github [github-discussions-link]: https://github.com/isce-framework/dolphin/discussions +[rtd-badge]: https://readthedocs.org/projects/dolphin-insar/badge/?version=latest +[rtd-link]: https://dolphin-insar.readthedocs.io/en/latest/?badge=latest High resolution wrapped phase estimation for Interferometric Synthetic Aperture Radar (InSAR) using combined persistent scatterer (PS) and distributed scatterer (DS) processing. @@ -21,7 +24,7 @@ High resolution wrapped phase estimation for Interferometric Synthetic Aperture ## Install -`dolphin` is available on conda: +`dolphin` may be installed via conda-forge: ```bash # if mamba is not already installed, see here: https://mamba.readthedocs.io/en/latest/ @@ -33,12 +36,12 @@ It is also available via [`PyPI`](https://pypi.org/project/dolphin/) and may be `dolphin` has the ability to unwrap interferograms using several options, which can be toggled using the `unwrap_method` configuration option: 1. [`snaphu-py`](https://github.com/isce-framework/snaphu-py), a lightweight Python bindings to [SNAPHU](https://web.stanford.edu/group/radar/softwareandlinks/sw/snaphu/). Available on both pip and conda. -2. [`isce3`](https://github.com/isce-framework/isce3) offers bindings to the `PHASS` or the `ICU` unwrapping algorithms. +2. [`isce3`](https://github.com/isce-framework/isce3)'s python bindings to SNAPHU, PHASS, or ICU 3. [`spurt`](https://github.com/isce-framework/spurt), a 3D unwrapper, implementing the Extended Minimum Cost Flow (ECMF) algorithm 4. [`tophu`](https://github.com/isce-framework/tophu), a multi-scale unwrapper designed to unwrap large interferograms in parallel tiles at multiple resolution. -These may be installed via conda or (in the case of `snaphu-py`) pip. +These may be installed via conda or (in the case of `snaphu-py`) pip. To install locally: @@ -80,6 +83,8 @@ Example usage: ```bash dolphin config --slc-files /path/to/slcs/*tif +# OR: to make a coarser output 4x as quickly: +# dolphin config --slc-files /path/to/slcs/*tif --strides 2 2 dolphin run dolphin_config.yaml ``` @@ -94,8 +99,6 @@ If the SLC files are spread over multiple files, you can either The full set of options is written to the configuration file; you can edit this file, or you can see which commonly tuned options by are changeable running `dolphin config --help`. -See the [documentation](https://dolphin-insar.readthedocs.io/) for more details. - ## Building and running via Docker `dolphin` can also be run using Docker. You can use the one built on [Github](https://github.com/isce-framework/dolphin/pkgs/container/dolphin), or build it locally using the script @@ -104,7 +107,13 @@ See the [documentation](https://dolphin-insar.readthedocs.io/) for more details. ./docker/build-docker-image.sh ``` -See `./docker/build-docker-image.sh --help` for more building options. +## Contributing + +We welcome many forms of contributing, including testing, bug reports, and documentation fixes. If you think you've found a problem, please let us know! You can raise an [issue](https://github.com/isce-framework/dolphin/issues) on the repository, where there are templates for Bug Reports and Feature Requests. If you have a general question of idea, feel free to raise it in the [Discussions](https://github.com/isce-framework/dolphin/discussions) page. + +For more detailed guidance on setting up a development environment, including how make and test changes to the code, see [Contributing to Dolphin](CONTRIBUTING.md). + +For more general Q&A, please use the [Discussions](https://github.com/isce-framework/dolphin/discussions) page. ## License diff --git a/docs/figures/dolphin-modules.pdf b/docs/figures/dolphin-modules.pdf new file mode 100644 index 0000000000000000000000000000000000000000..cb570de6c7601101e04eab122785109ed2e1a75b GIT binary patch literal 45210 zcmdS>b#xrd?kEb|j+vR6nVFfHnVDhC%*@P=nPX;VW@d^Zc4D?;$4;J|oqf*!-Fxo2 z-&)`M=dD>YtyY!P)zy+pQmKbbQB<6ciJldjZ1f_&5Solk%HGYv#0X&JV9!nHXauli zuy7%yQ=}uLGgT217gK&aia6N4HCP#2*;)ZSWzF2oZ28_8yftVzTLH{8mCejm0Cs%l zMz$_ye17ied+574LyJHf7W+!AMbTGDt=H+FOHM6$>SQ2u)VU!u(t_Lu4 zCS(w|H3FE4nwdD5n(^~Py8xWcjO?I2a=z+qCh3hU`CfkFj7LV=SbDvIWJd~UkC_KT 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[Getting started](./getting-started.md) +1. [Overview of processing modules](./overview.md) 1. [Tutorials](tutorials.md) 1. [Code Reference](reference/summary.md) 1. [Changelog](changelog.md) diff --git a/docs/overview.md b/docs/overview.md new file mode 100644 index 00000000..bde8a88e --- /dev/null +++ b/docs/overview.md @@ -0,0 +1,16 @@ + +# Overview of Dolphin + +Dolphin processes coregistered single-look complex (SLC) radar images into a time series of surface displacement. The software has an end-to-end surface displacement processing workflow, accessible through a command line tool, which calls core algorithms for PS/DS processing: + +- The `shp` subpackage estimates the SAR backscatter distribution to find neighborhoods of statistically homogeneous pixels (SHPs) using the generalized likelihood ratio test from @Parizzi2011AdaptiveInSARStack or the Kolmogorov-Smirnov test from @Ferretti2011NewAlgorithmProcessing. +- The `phase_link` subpackage processes the complex SAR covariance matrix into a time series of wrapped phase using the CAESAR algorithm [@Fornaro2015CAESARApproachBased], the eigenvalue-based maximum likelihood estimator of interferometric phase (EMI) [@Ansari2018EfficientPhaseEstimation], or the combined phase linking (CPL) approach from @Mirzaee2023NonlinearPhaseLinking. +- The `ps` module selects persistent scatterer pixels from the full-resolution SLCs to be integrated into the wrapped interferograms [@Ferretti2001PermanentScattersSAR]. +- The `unwrap` subpackage exposes multiple phase unwrapping algorithms, including the Statistical-cost, Network-flow Algorithm for Phase Unwrapping (SNAPHU) [@Chen2001TwodimensionalPhaseUnwrapping], the PHASS algorithm (available in the InSAR Scientific Computing Environment [@Rosen2018InSARScientificComputing]), and the Extended Minimum Cost Flow (EMCF) 3D phase unwrapping algorithm via the `spurt` library. Dolphin has pre- and post-processing options, including Goldstein filtering [@Goldstein1998RadarInterferogramFiltering] or interferogram masking and interpolation [@Chen2015PersistentScattererInterpolation]. +- The `timeseries` module contains basic functionality to invert an overdetermined network of unwrapped interferograms into a time series and estimate the average surface velocity. The outputs of Dolphin are also compatible with the Miami INsar Time-series software for users who are already comfortable with MintPy [@Yunjun2019SmallBaselineInSAR]. + +To meet the computational demands of large-scale InSAR processing, Dolphin leverages Just-in-time (JIT) compilation, maintaining the readability of Python while matching the speed of compiled languages. The software's compute-intensive routines use the XLA compiler within JAX [@Bradbury2018JAXComposableTransformations] for efficient CPU or GPU processing. Users with compatible GPUs can see 5-20x speedups by simply installing additional packages. Dolphin manages memory efficiently through batch processing and multi-threaded I/O, allowing it to handle datasets larger than available memory while typically using a few gigabytes for most processing stages. These optimizations enable Dolphin to process hundreds of full-frame Sentinel-1 images with minimal configuration, making it well-suited for large-scale projects such as OPERA. + +![Overview of main workflow to generate surface displacement. Rectangular stacks indicate input or intermediate raster images. Arrows show the flow of data through the configurable submodules of Dolphin.](./figures/dolphin-modules.png) + +For more on running the `dolphin` command line tool, see the walkthroughs on the [Tutorials page](tutorials.md). diff --git a/docs/references.bib b/docs/references.bib index d5426750..ed378793 100644 --- a/docs/references.bib +++ b/docs/references.bib @@ -51,7 +51,6 @@ @article{Bekaert2021IntroducingOPERAProject urldate = {2024-05-15} } - @article{Berardino2002NewAlgorithmSurface, title = {A {{New Algorithm}} for {{Surface Deformation Monitoring Based}} on {{Small Baseline Differential SAR Interferograms}}}, author = {Berardino, Paolo and Fornaro, Dianfranco and Linari, Riccardo and Sansosti, Eugenio}, @@ -97,6 +96,7 @@ @article{Chen2001TwodimensionalPhaseUnwrapping urldate = {2024-05-16}, langid = {english} } + @article{Chen2012IonosphericArtifactsSimultaneous, title = {Ionospheric {{Artifacts}} in {{Simultaneous L-Band InSAR}} and {{GPS Observations}}}, author = {Chen, Jingyi and Zebker, Howard A.}, @@ -125,14 +125,29 @@ @article{Chen2015PersistentScattererInterpolation } @article{Fattahi2019FRInGEFullResolutionInSAR, - title = {{{FRInGE}}; {{Full-Resolution InSAR}} Timeseries Using {{Generalized Eigenvectors}}}, - author = {Fattahi, H. and Agram, P. S. and Tymofyeyeva, E. and Bekaert, D. P.}, - year = {2019}, - month = dec, + author = {{Fattahi}, H. and {Agram}, P.S. and {Tymofyeyeva}, E. and {Bekaert}, D.P.}, + title = {{FRInGE; Full-Resolution InSAR timeseries using Generalized Eigenvectors}}, + keywords = {1209 Tectonic deformation, GEODESY AND GRAVITY, 1211 Non-tectonic deformation, GEODESY AND GRAVITY, 1240 Satellite geodesy: results, GEODESY AND GRAVITY, 1241 Satellite geodesy: technical issues, GEODESY AND GRAVITY}, + booktitle = {AGU Fall Meeting Abstracts}, + year = 2019, volume = {2019}, + month = dec, + eid = {G11B-0514}, pages = {G11B-0514}, - urldate = {2024-05-16}, - keywords = {1209 Tectonic deformation,1211 Non-tectonic deformation,1240 Satellite geodesy: results,1241 Satellite geodesy: technical issues,GEODESY AND GRAVITY} + adsurl = {https://ui.adsabs.harvard.edu/abs/2019AGUFM.G11B0514F}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + +@article{Ferretti2001PermanentScattersSAR, + title = {Permanent {{Scatters}} in {{SAR Interferometry}}}, + author = {Ferretti, Alessandro and Prati, Claudio and Rocca, Fabrio}, + year = {2001}, + journal = {IEEE Transactions on Geoscience and Remote Sensing}, + volume = {39}, + number = {1}, + pages = {8--20}, + issn = {01962892}, + doi = {10.1109/36.898661} } @article{Ferretti2011NewAlgorithmProcessing, @@ -304,6 +319,7 @@ @article{Yunjun2019SmallBaselineInSAR urldate = {2020-08-14}, langid = {english} } + @article{Zwieback2022CheapValidRegularizers, title = {Cheap, Valid Regularizers for Improved Interferometric Phase Linking}, author = {Zwieback, S.}, diff --git a/mkdocs.yml b/mkdocs.yml index f521c3be..09c87ddc 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -56,6 +56,7 @@ watch: nav: - index.md - getting-started.md +- overview.md - tutorials.md # - Tutorials: # - Notebook page: notebooks/walkthrough-basic.ipynb