NPM Package: usgscsm-wasm
CDN Links:
- jsDelivr:
https://cdn.jsdelivr.net/npm/usgscsm-wasm/dist/usgscsm.js - unpkg:
https://unpkg.com/usgscsm-wasm/dist/usgscsm.js
This library provides Community Sensor Model (CSM)-compliant sensor models created by the USGS Astrogeology Science Center.
USGSCSM contains three different sensor models. The first is a generic framing camera model written from scratch. The second is a generic line scan camera model based on code from BAE Systems Information and Electronic Systems Integration, Inc. The third is a generic synthetic-aperture radar (SAR) sensor model.
This library is a CSM plugin library that is intended to be dynamically loaded at run-time alongside the CSM API library.
Once the library is loaded, it can be accessed through the CSM plugin interface. For an example of how to do through the CSM C++ interface see the SensorModelFactory class in SensorUtils. For an example of how to do this through the CSM Python bindings see this notebook.
From the CSM plugin interface, a generic framing camera model (USGS_ASTRO_FRAME_SENSOR_MODEL), line scan camera model (USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL), or a SAR model (USGS_ASTRO_SAR_SENSOR_MODEL) can be instantiated from a suitable Image Support Data (ISD) file.
Under the CSM standard, each plugin library can define its own ISD camera model format. This library uses an auxiliary JSON formatted file that must be next to the image file passed to the CSM::ISD class. ISD files and strings can be generated by using ALE with metakernels and accompanying SPICE kernels, or from ISIS cubes that have attached SPICE data.
The camera model read from an ISD file is converted at load time to an internal representation which makes camera operations more efficient. This optimized model state can be saved to disk as a JSON-formatted file, be used interchangeably with the original ISD model, and also shared among various photogrammetric packages.
The model state can also be saved in binary msgpack format, which is
smaller and much faster to load than JSON. The .isd extension is
suggested for binary model state files but is not enforced. When
loading, the format is determined by inspecting the first bytes of
the file.
The camera model state can be modified by an application of a rotation and translation, which is necessary in order to refine a camera's position and orientation in photogrammetry, while these operations are not easy to express in the original ISD format.
The GXP .sup file format is also supported for interoperability with the
GXP software suite.
This library provides functionality for saving the model state file, as discussed in the next section.
USGSCSM ships with a program named usgscsm_cam_test, which is
able to load a CSM camera model, whether in the original ISD format,
its model state representation, or binary msgpack model state, export
the model state in JSON or binary format, and perform basic camera
operations, as described in its
documentation.
Logging of the internal operations in the sensor models can be enabled by setting
the USGSCSM_LOG_FILE environment variable to the file the log should be written to.
To have the logging information printed to the standard output or standard error, set
this to stdout or stderr.
You can adjust how much information is logged by setting the USGSCSM_LOG_LEVEL
environment variable. The log level is not case sensitive.
The log levels are:
| Level | Description |
|---|---|
| trace | Intermediate calculation values |
| debug | All function calls and returns |
| info | Only core photogrammetry calls and returns - Default log level |
| warn | CSM warnings |
| err | CSM exceptions |
| critical | Critical errors |
| off | No log messages |
All log messages of level USGSCSM_LOG_LEVEL and below will be logged. For example,
setting the log level to info will log all messages of types info, warn, err,
critical, and off. Note that these logs can become several GB in size when the
log level is set to debug or trace.
- cmake 3.15 or newer
- GNU-compatible Make
- a C++11 compliant compiler
This repository has all of its external C++ dependencies included in it. The
excellent header-only JSON library
JSON for Modern C++ is included directly in
the source code. The other three dependencies, The Abstraction Library for
Ephemerides, the CSM API library, and googletest are included as git submodules.
When you clone this library make sure you add the --recursive flag to your
git clone command. Alternatively, you can run
git submodule update --init --recursive after cloning.
You can also install the build requirements using Conda with the provided
environment.yml file. The following commands will create a new environment
to build against. Note that googletest cannot be installed via anaconda and must
be available within the source code. You can remove the googletest dependency
by disabling the tests.
conda env create -n usgscsm -f environment.yml
USGSCSM uses a standard cmake build system. To compile the library and tests use the following commands:
mkdir build && cd buildcmake -DUSGSCSM_EXTERNAL_DEPS=OFF -DUSGSCSM_BUILD_DOCS=OFF .. && cmake --build .
If you are using external dependencies via Conda or system level installations
add the -DUSGSCSM_EXTERNAL_DEPS=ON flag to the cmake command.
You can also disable the tests and the googletest dependency by adding the
-DUSGSCSM_BUILD_TESTS=OFF flag to the cmake command.
All of the tests for USGSCSM are written in the googletest framework
and are run via ctest. To run all of the tests simply run ctest in the build.
All of the tests are purposefully written to use generic data that values have
been hand validated. This data can be found under tests/data.
This software package uses a modified form of the Google C++ Style Guide.
Here are some exceptions:
- Non-const pass-by-reference is allowed.
- No copyright notice is necessary
- Static/global string constants are allowed to be std::strings, rather than C-style strings
To attempt to automatically format any new code to this style, run:
clang-format -style=Google -i file.cpp
For more information see: ClangFormat
To check for compliance, run: cpplint file.cpp and ignore errors in the list of exclusions above.
For more information, see: cpplint.
USGSCSM can be compiled to WebAssembly for use in web browsers and Node.js.
GitHub Releases (Direct Import):
<script type="module">
// Import directly from GitHub Release (replace v2.0.2 with latest version)
import USGSCSM from 'https://github.com/USGS-Astrogeology/usgscsm/releases/download/v2.0.2/usgscsm.js';
const Module = await USGSCSM();
const model = new Module.USGSCSMModel();
// Load camera model from ISD
const isdJson = await fetch('camera_model.json').then(r => r.text());
model.loadFromISD(isdJson, 'USGS_ASTRO_FRAME_SENSOR_MODEL');
// Transform coordinates
const ground = model.imageToGround(512, 1024, 0);
console.log(`Ground: (${ground.x}, ${ground.y}, ${ground.z})`);
</script>Or download files from GitHub Releases:
usgscsm.js- JavaScript moduleusgscsm.wasm- WebAssembly binaryusgscsm.d.ts- TypeScript definitions
Note: The WASM file (usgscsm.wasm) must be in the same directory as the JS file.
Requirements:
- Emscripten 3.1.58 (compatible with Binaryen 117)
- cmake 3.15+
Setup with Conda:
conda create -n usgscsm python=3.11
conda activate usgscsm
conda install -c conda-forge emscripten=3.1.58Build:
# Clone with submodules
git clone --recursive https://github.com/USGS-Astrogeology/usgscsm.git
cd usgscsm
# Configure and build
mkdir wasmbuild && cd wasmbuild
emcmake cmake ..
emmake make
# Output files are in wasmbuild/dist/
ls -lh dist/Output files (in wasmbuild/dist/):
usgscsm.js- JavaScript glue code (~123 KB, 30 KB gzipped)usgscsm.wasm- WebAssembly binary (~911 KB, 254 KB gzipped)usgscsm.d.ts- TypeScript definitions
Advanced Build Options:
# Debug build with source maps
emcmake cmake .. -DUSGSCSM_WASM_DEBUG=ON
# Disable optimization (faster build, larger binary)
emcmake cmake .. -DUSGSCSM_WASM_OPTIMIZE=OFF
# Build with tests (requires googletest)
emcmake cmake .. -DUSGSCSM_BUILD_TESTS=ONTesting:
npm test// Using npm package
import USGSCSM from 'usgscsm-wasm';
// OR using CDN
// import USGSCSM from 'https://cdn.jsdelivr.net/npm/usgscsm-wasm/dist/usgscsm.js';
const Module = await USGSCSM();
const model = new Module.USGSCSMModel();
// Load from ISD
const isdJson = await fetch('model.json').then(r => r.text());
model.loadFromISD(isdJson, 'USGS_ASTRO_FRAME_SENSOR_MODEL');
// Transform coordinates
const ground = model.imageToGround(100, 200, 0);
const pixel = model.groundToImage(ground.x, ground.y, ground.z);Camera models can be serialized to JSON state strings and restored later, enabling:
- Caching computed models for faster subsequent loads
- Sharing camera models between applications
- Storing refined camera parameters after bundle adjustment
import USGSCSM from './dist/usgscsm.js';
const Module = await USGSCSM();
// Load from ISD (slow - computes ephemeris)
const model1 = new Module.USGSCSMModel();
model1.loadFromISD(isdJson, 'USGS_ASTRO_FRAME_SENSOR_MODEL');
// Save model state for reuse
const state = model1.getModelState();
localStorage.setItem('cameraModel', state); // or send to server
// Later: Load from state (fast - precomputed)
const savedState = localStorage.getItem('cameraModel');
const model2 = new Module.USGSCSMModel();
model2.loadFromState(savedState);
// model2 produces identical results to model1
const ground = model2.imageToGround(100, 200, 0);- Frame cameras (
USGS_ASTRO_FRAME_SENSOR_MODEL) - Line scanners (
USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL) - Push frame cameras (
USGS_ASTRO_PUSH_FRAME_SENSOR_MODEL) - SAR sensors (
USGS_ASTRO_SAR_SENSOR_MODEL)