# RPCM - Rational Polynomial Camera Model
Python implementation of the Rational Polynomial Camera (RPC) model for optical satellite images.
[Carlo de Franchis](mailto:carlo.de-franchis@ens-paris-saclay.fr), Gabriele Facciolo, Enric Meinhardt-Llopis
(Centre Borelli, ENS Paris-Saclay, Université Paris-Saclay) 2013-21
`rpcm` is a Python library and command line tool for geolocating satellite images
with RPCs. Its main source code repository is https://github.com/centreborelli/rpcm.
# Installation
To install `rpcm` from PyPI:
pip install rpcm
Alternatively, to install `rpcm` from sources:
git clone https://github.com/centreborelli/rpcm.git
cd rpcm
pip install -e .
# Usage
`rpcm` is a Python library that can be imported into other applications. A
Jupyter notebook tutorial covering the main features of the library is included (TODO).
`rpcm` also comes with a Command Line Interface (CLI). The `rpcm` CLI has an
extensive help that can be printed with the `-h` and `--help` switches.
$ rpcm -h
usage: rpcm [-h] {projection, localization, crop, footprint, angle} ...
Some CLI usage examples can be found in `tests/tests.sh`.
There are several subcommands, `projection`, `localization`, `crop`,
`footprint`, `angle`, each of which has its own help.
## Projection
$ rpcm projection -h
usage: rpcm projection [-h] [--lon LON] [--lat LAT] [-z Z] [--points POINTS]
[--crop CROP] [--svg SVG]
img
positional arguments:
img path or url to a GeoTIFF image file with RPC metadata
optional arguments:
-h, --help show this help message and exit
--lon LON longitude
--lat LAT latitude
-z Z altitude, in meters
--points POINTS path to a 2/3 columns txt file: lon lat [z]
--crop CROP path to a tif crop previously produced by rpcm. Image
coordinates are computed with respect to this crop.
--svg SVG path to an svg file where to plot projected points.
## Localization
$ rpcm localization -h
usage: rpcm localization [-h] [-x X] [-y Y] [-z Z] [--points POINTS]
[--crop CROP]
img
positional arguments:
img path or url to a GeoTIFF image file with RPC metadata
optional arguments:
-h, --help show this help message and exit
-x X horizontal pixel coordinate (i.e. column index)
-y Y vertical pixel coordinate (i.e. row index)
-z Z altitude, in meters
--points POINTS path to a 3 columns txt file: x y z
--crop CROP path to a tif crop previously produced by rpcm. Image
coordinates are interpreted with respect to this crop.
## Crop
$ rpcm crop -h
usage: rpcm crop [-h] [-z Z] img aoi crop
positional arguments:
img path to a GeoTIFF image file with RPC metadata
aoi path to geojson file defining the area of interest (AOI)
crop path to the output cropped tif image
optional arguments:
-h, --help show this help message and exit
-z Z altitude of the crop center
## Footprint
$ rpcm footprint -h
usage: rpcm footprint [-h] [-z Z] img
positional arguments:
img path or url to a GeoTIFF image file with RPC metadata
optional arguments:
-h, --help show this help message and exit
-z Z altitude, in meters
## Angle
$ rpcm angle -h
usage: rpcm angle [-h] [--lon LON] [--lat LAT] [-z Z] img1 img2
positional arguments:
img1 path to a GeoTIFF image file with RPC metadata
img2 path to a GeoTIFF image file with RPC metadata
optional arguments:
-h, --help show this help message and exit
--lon LON longitude
--lat LAT latitude
-z Z altitude
# Common issues
_Warning_: A `rasterio` issue on Ubuntu causes the need for this environment
variable (more info on [rasterio's
github](https://github.com/mapbox/rasterio/issues/942)):
export CURL_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt
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光学遥感数据RPC模型读取库Python

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2023-03-29
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Borelli中心开源在GitHub上的读取光学卫星图像的RPC模型python库,安装简单。可以直接进入rpcm文件夹,然后通过 pip install -e . 命令进行安装。
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