1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
|
%global _empty_manifest_terminate_build 0
Name: python-impdar
Version: 1.1.6
Release: 1
Summary: Scripts for impulse radar
License: GNU GPL-3.0
URL: http://github.com/dlilien/impdar
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/29/70/07f2fef8ba84d3bf761207e4925ad970271834925de4a93fb607e459b207/impdar-1.1.6.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-matplotlib
Requires: python3-h5py
Requires: python3-segyio
%description
# ImpDAR: an impulse radar processor
[](https://zenodo.org/badge/latestdoi/134008583) [](https://github.com/dlilien/ImpDAR/actions/workflows/python-package.yml) [](https://codecov.io/gh/dlilien/ImpDAR)
ImpDAR is a suite of processing and interpretation tools for impulse radar (targeted for ice-penetrating radar applications but usable for ground-penetrating radar as well). The core processing steps and general terminology come from of the St. Olaf Deep Radar processor, but everything is re-written in python and significant improvements to speed, readability, documentation, and interface have been made across the board. However, this code has a lot of history of contributors--acknowledgment of many of them are preserved in the file headers.
ImpDAR is intended to be more flexible than other available options. Support is gradually being added for a variety of file formats. Currently, [GSSI](http://www.geophysical.com), [PulseEKKO](http://www.sensoft.ca), [Ramac](http://www.malagpr.com), [Blue Systems](http://www.bluesystem.ca/ice-penetrating-radar.html), DELORES, SEGY, [gprMAX](http://www.gprmax.com), Gecko, and legacy StoDeep files are supported. Available processing steps include various filtering operations, trivial modifications such as restacking, cropping, or reversing data, and a few different geolocation-related operations like interpolating to constant trace spacing. The integrated migration routines are in development but Stolt is working.
The primary interface to ImpDAR is through the command line, which allows efficient processing of large volumes of data. An API, centered around the RadarData class, is also available to allow the user to use ImpDAR in other programs.
In addition to processing, ImpDAR can also be used for interpreting the radargrams (i.e. picking layers). Picking is generally an interactive process, and there is a GUI for doing the picking; the GUI requires PyQt5, which may be annoying as a source build but is easy to install with Anaconda. The GUI also allows for basic processing steps, with the updates happening to the plot in real time. However, we have not added an 'undo' button to the GUI, so you are stuck with going back to your last saved version if you do not like the interactive results.
## Documentation
Documentation of the various processing steps is [here](https://impdar.readthedocs.io/en/latest/). There are examples of basic processing and plotting, and a longer example showing migration.
## Installation
Easiest is `pip install impdar`. Some explanation of other options is available in the main documentation, but PyPi will be updated with each release.
### Dependencies
#### Required
*Python 3* The package is tested on Python 3.7+. Older versions may work, but we have stopped testing on 2.7 since it has reached end of life. You can probably get 2.7 to work still, but no guarantees.
You also need:
[numpy](http://www.scipy.org),
[scipy](http://numpy.org),
[matplotlib](http://matplotlib.org),
[SegYIO](https://github.com/equinor/segyio/) for SEGY support and for SeisUnix migration, and
[h5py](https://h5py.org) is needed for some data formats.
I recommend just using Anaconda for your install, since it will also get you PyQt and therefore enable the GUI.
#### Recommended
[GDAL](http://gdal.org) is needed to reproject out of WGS84, and thus for proper distance measurement. Otherwise, distance calculations re going to moderately or severely incorrect.
[PyQt5](https://pypi.org/project/PyQt5/) is needed to run the GUI, which is needed for picking. You can do everything from the command line, and plot the results with matplotlib, without PyQt5.
Depending on whether you need migration routines, there may be some external dependencies. ImpDAR is designed to interface with [SeisUnix](http://https://github.com/JohnWStockwellJr/SeisUnix), which contains a number of powerful migration routines. You need to install SeisUnix yourself and get it on your path. If you are running windows, you need to figure out how to use Cygwin as well. However, the pure python migration routines in ImpDAR can work quite well, so don't let the difficulty of installing these compiled routines stop you from using those. ImpDAR searches for SeisUnix at the time of the call to the migration routine, so you can always add this later if you find that you need it.
## Contributing
Support for different radar data types has primarily been added as needed--contributions for data readers for other systems, whether commercial or custom, are always welcome.
%package -n python3-impdar
Summary: Scripts for impulse radar
Provides: python-impdar
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-impdar
# ImpDAR: an impulse radar processor
[](https://zenodo.org/badge/latestdoi/134008583) [](https://github.com/dlilien/ImpDAR/actions/workflows/python-package.yml) [](https://codecov.io/gh/dlilien/ImpDAR)
ImpDAR is a suite of processing and interpretation tools for impulse radar (targeted for ice-penetrating radar applications but usable for ground-penetrating radar as well). The core processing steps and general terminology come from of the St. Olaf Deep Radar processor, but everything is re-written in python and significant improvements to speed, readability, documentation, and interface have been made across the board. However, this code has a lot of history of contributors--acknowledgment of many of them are preserved in the file headers.
ImpDAR is intended to be more flexible than other available options. Support is gradually being added for a variety of file formats. Currently, [GSSI](http://www.geophysical.com), [PulseEKKO](http://www.sensoft.ca), [Ramac](http://www.malagpr.com), [Blue Systems](http://www.bluesystem.ca/ice-penetrating-radar.html), DELORES, SEGY, [gprMAX](http://www.gprmax.com), Gecko, and legacy StoDeep files are supported. Available processing steps include various filtering operations, trivial modifications such as restacking, cropping, or reversing data, and a few different geolocation-related operations like interpolating to constant trace spacing. The integrated migration routines are in development but Stolt is working.
The primary interface to ImpDAR is through the command line, which allows efficient processing of large volumes of data. An API, centered around the RadarData class, is also available to allow the user to use ImpDAR in other programs.
In addition to processing, ImpDAR can also be used for interpreting the radargrams (i.e. picking layers). Picking is generally an interactive process, and there is a GUI for doing the picking; the GUI requires PyQt5, which may be annoying as a source build but is easy to install with Anaconda. The GUI also allows for basic processing steps, with the updates happening to the plot in real time. However, we have not added an 'undo' button to the GUI, so you are stuck with going back to your last saved version if you do not like the interactive results.
## Documentation
Documentation of the various processing steps is [here](https://impdar.readthedocs.io/en/latest/). There are examples of basic processing and plotting, and a longer example showing migration.
## Installation
Easiest is `pip install impdar`. Some explanation of other options is available in the main documentation, but PyPi will be updated with each release.
### Dependencies
#### Required
*Python 3* The package is tested on Python 3.7+. Older versions may work, but we have stopped testing on 2.7 since it has reached end of life. You can probably get 2.7 to work still, but no guarantees.
You also need:
[numpy](http://www.scipy.org),
[scipy](http://numpy.org),
[matplotlib](http://matplotlib.org),
[SegYIO](https://github.com/equinor/segyio/) for SEGY support and for SeisUnix migration, and
[h5py](https://h5py.org) is needed for some data formats.
I recommend just using Anaconda for your install, since it will also get you PyQt and therefore enable the GUI.
#### Recommended
[GDAL](http://gdal.org) is needed to reproject out of WGS84, and thus for proper distance measurement. Otherwise, distance calculations re going to moderately or severely incorrect.
[PyQt5](https://pypi.org/project/PyQt5/) is needed to run the GUI, which is needed for picking. You can do everything from the command line, and plot the results with matplotlib, without PyQt5.
Depending on whether you need migration routines, there may be some external dependencies. ImpDAR is designed to interface with [SeisUnix](http://https://github.com/JohnWStockwellJr/SeisUnix), which contains a number of powerful migration routines. You need to install SeisUnix yourself and get it on your path. If you are running windows, you need to figure out how to use Cygwin as well. However, the pure python migration routines in ImpDAR can work quite well, so don't let the difficulty of installing these compiled routines stop you from using those. ImpDAR searches for SeisUnix at the time of the call to the migration routine, so you can always add this later if you find that you need it.
## Contributing
Support for different radar data types has primarily been added as needed--contributions for data readers for other systems, whether commercial or custom, are always welcome.
%package help
Summary: Development documents and examples for impdar
Provides: python3-impdar-doc
%description help
# ImpDAR: an impulse radar processor
[](https://zenodo.org/badge/latestdoi/134008583) [](https://github.com/dlilien/ImpDAR/actions/workflows/python-package.yml) [](https://codecov.io/gh/dlilien/ImpDAR)
ImpDAR is a suite of processing and interpretation tools for impulse radar (targeted for ice-penetrating radar applications but usable for ground-penetrating radar as well). The core processing steps and general terminology come from of the St. Olaf Deep Radar processor, but everything is re-written in python and significant improvements to speed, readability, documentation, and interface have been made across the board. However, this code has a lot of history of contributors--acknowledgment of many of them are preserved in the file headers.
ImpDAR is intended to be more flexible than other available options. Support is gradually being added for a variety of file formats. Currently, [GSSI](http://www.geophysical.com), [PulseEKKO](http://www.sensoft.ca), [Ramac](http://www.malagpr.com), [Blue Systems](http://www.bluesystem.ca/ice-penetrating-radar.html), DELORES, SEGY, [gprMAX](http://www.gprmax.com), Gecko, and legacy StoDeep files are supported. Available processing steps include various filtering operations, trivial modifications such as restacking, cropping, or reversing data, and a few different geolocation-related operations like interpolating to constant trace spacing. The integrated migration routines are in development but Stolt is working.
The primary interface to ImpDAR is through the command line, which allows efficient processing of large volumes of data. An API, centered around the RadarData class, is also available to allow the user to use ImpDAR in other programs.
In addition to processing, ImpDAR can also be used for interpreting the radargrams (i.e. picking layers). Picking is generally an interactive process, and there is a GUI for doing the picking; the GUI requires PyQt5, which may be annoying as a source build but is easy to install with Anaconda. The GUI also allows for basic processing steps, with the updates happening to the plot in real time. However, we have not added an 'undo' button to the GUI, so you are stuck with going back to your last saved version if you do not like the interactive results.
## Documentation
Documentation of the various processing steps is [here](https://impdar.readthedocs.io/en/latest/). There are examples of basic processing and plotting, and a longer example showing migration.
## Installation
Easiest is `pip install impdar`. Some explanation of other options is available in the main documentation, but PyPi will be updated with each release.
### Dependencies
#### Required
*Python 3* The package is tested on Python 3.7+. Older versions may work, but we have stopped testing on 2.7 since it has reached end of life. You can probably get 2.7 to work still, but no guarantees.
You also need:
[numpy](http://www.scipy.org),
[scipy](http://numpy.org),
[matplotlib](http://matplotlib.org),
[SegYIO](https://github.com/equinor/segyio/) for SEGY support and for SeisUnix migration, and
[h5py](https://h5py.org) is needed for some data formats.
I recommend just using Anaconda for your install, since it will also get you PyQt and therefore enable the GUI.
#### Recommended
[GDAL](http://gdal.org) is needed to reproject out of WGS84, and thus for proper distance measurement. Otherwise, distance calculations re going to moderately or severely incorrect.
[PyQt5](https://pypi.org/project/PyQt5/) is needed to run the GUI, which is needed for picking. You can do everything from the command line, and plot the results with matplotlib, without PyQt5.
Depending on whether you need migration routines, there may be some external dependencies. ImpDAR is designed to interface with [SeisUnix](http://https://github.com/JohnWStockwellJr/SeisUnix), which contains a number of powerful migration routines. You need to install SeisUnix yourself and get it on your path. If you are running windows, you need to figure out how to use Cygwin as well. However, the pure python migration routines in ImpDAR can work quite well, so don't let the difficulty of installing these compiled routines stop you from using those. ImpDAR searches for SeisUnix at the time of the call to the migration routine, so you can always add this later if you find that you need it.
## Contributing
Support for different radar data types has primarily been added as needed--contributions for data readers for other systems, whether commercial or custom, are always welcome.
%prep
%autosetup -n impdar-1.1.6
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-impdar -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.6-1
- Package Spec generated
|
