Discuss your architecture
Building orthorectification, atmospheric correction, and band alignment in-house is achievable, and many teams pursue it. The cost that rarely appears in the initial estimate is maintenance. A processing pipeline does not stay finished; it requires retuning each time a sensor generation or orbit regime changes. CATALYST has spent 45 years refining this science and optimizing the underlying algorithms. That optimization is the source of the 15x advantage: the CATALYST pipeline processes considerably faster than a comparable in-house build, and the engineering hours that would otherwise go to retuning are redirected to the work your customers pay for. Across several sensor generations, an in-house pipeline typically costs more than it was ever expected to save.
Tools such as SNAP and Orfeo give you the algorithms, but no support and no service-level agreement behind them. When a processing run fails ahead of a customer delivery, the problem is entirely your team's to solve. CATALYST gives you the specialists who developed the science, with defined response times, so issues are resolved faster than any community forum can manage.
AWS Ground Station and similar services give you the data pipe. They do not give you the processing science. You still need to build or buy the photogrammetric algorithms that turn raw DN values into analysis-ready imagery. CATALYST OnBoard is that layer - and it runs in your existing cloud environment.
| TYPE | Capability | Description | Support |
|---|---|---|---|
| PHOTOGRAMMETRY | GCP Collection | Automatically collect and refine ground control points against a reference image | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | Bundle Adjustment | Automatically collect tie points to align adjacent images in a project | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | Satellite Orthorectification | Orthorectify satellite imagery using the most accurate supporting model | Satellite |
| PHOTOGRAMMETRY | Airphoto Orthorectification | Orthorectify digital, UAV, analog or pushbroom airphotos | Aerial, UAV |
| PHOTOGRAMMETRY | True Orthorectification | Create True Orthorectified images from multiple overlapping images of Aerial and UAV images | Aerial, UAV |
| PHOTOGRAMMETRY | SAR Orthorectification | Orthorectify SAR imagery | Radar |
| PHOTOGRAMMETRY | DEM Extraction | Extract 3D digital elevation models (DEM) and digital surface models (DSM) using semi global matching | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | Digital Terrain Model Filtering | Create digital terrain models (DTM) by filtering out surface features from DSMs or DEMs | DEM |
| PHOTOGRAMMETRY | Super Registration | Align any image to 1/10th of a pixel accuracy | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | SAR DEM Extraction (Stereo) | Extract 3D DEMs from SAR stereo imagery | Radar |
| PHOTOGRAMMETRY | Mosaic Seamline Generation | Automatically calculate the best path for seamlines to eliminate visible seams | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | Mosaic Colour Balancing | Automatically balance the color of all images in a mosaicking project | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | Mosaic Tiling | Automatically tile a mosaic for easier storage | Satellite, Aerial, UAV |
| PHOTOGRAMMETRY | Mosaic Preview | Generate a low resolution mosaic preview for quality assurance | Satellite, Aerial, UAV |
| IMAGE PREPROCESSING | Principle Component Analysis | Reduce dimensionality and improve classification with eigen decomposition | Satellite, Aerial, UAV |
| IMAGE PREPROCESSING | Texture Measurement | Analyse the texture of features in images | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE PREPROCESSING | Atmospheric Correction | Convert satellite DN values to ground reflectance using a physical model | Satellite |
| IMAGE PREPROCESSING | Haze Removal | reduce the visual and scientific impact of haze in satellite images | Satellite |
| IMAGE PREPROCESSING | Cloud Masking | Automatically mask clouds | Satellite |
| IMAGE PREPROCESSING | Spectral Pre Classification | Preclassify pixels using Modis data for improved modelling | Satellite |
| IMAGE PREPROCESSING | Pansharpeing | Panchromatic sharpening to increase the resolution of multispectral images | Satellite |
| IMAGE PREPROCESSING | Image Fusion | Scientific method to increase multispectral resolution using a panchromatic pair that maintains the radiometric integrity of the multispectral image | Satellite |
| IMAGE PREPROCESSING | Masking | Create custom masks for inclusion or exclusion in modeling, analysis and mosaicking | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE PREPROCESSING | Filtering | Low and high pass filtering | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE PREPROCESSING | Reprojecting | Change the geographic coordinate systems and projections of imagery and vectors | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE PREPROCESSING | Image Enhancing | Enhance the histogram of images | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE PREPROCESSING | Morpholocical Operations | Dissolve and erode pixel mask boundaries (bitmaps) | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE PREPROCESSING | Resampling | Resample imagery/rasters to higher or lower resolutions | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE ANALYTICS | Vector Analysis | Intersection, overlay, neighborhood | Vector |
| IMAGE ANALYTICS | Object-based classification | Object-based image classification using advanced machine learning algorithms | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE ANALYTICS | Change Detection | Object and pixel-based image change detection | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE ANALYTICS | Feature extraction | Object and pixel feature extraction using machine learning and heuristics | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE ANALYTICS | Lineament Extraction | Extract linear features from an image | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE ANALYTICS | Image statistics | Collect and chart statistics from imagery, such as histograms | Satellite, Aerial, UAV, Radar, DEM |
| IMAGE ANALYTICS | Vegetation Analysis | Over 30 different vegetation indices for RGB and MS imagery | Satellite, Aerial, UAV |
| IMAGE ANALYTICS | Pixel-based classification | Classify and cluster image pixels using supervised and unsupervised machine learning techniques | Satellite, Aerial, UAV |
| SAR & INSAR | Deformation Analysis | Measure up to millimeter precision ground deformation (ground movement) from SAR pairs using InSAR | Radar |
| SAR & INSAR | SAR Orthorectification | Orthorectify SAR imagery | Radar |
| SAR & INSAR | SAR DEM Extraction (InSAR) | Extract 3D DEMs from SAR imagery using InSAR | Radar |
| SAR & INSAR | SAR DEM Extraction (Stereo) | Extract 3D DEMs from SAR stereo imagery | Radar |
| SAR & INSAR | SAR Change Detection | Change detection using phase, amplitude and or coherence from single, dual, full and compact Polarimetric SAR imagery | Radar |
| SAR & INSAR | Compact Polarimetry | Support for compact polarimetry workflows | Radar |
| SAR & INSAR | SAR filters | A variety of specialized filters for SAR imagery | Radar |
| SAR & INSAR | SAR Object Based Classification | Object-based image classification using advanced machine learning algorithms | Radar |
| ANALYSIS READY DATA | Geometric Correction | Fully automated geometric correction based on CARD4L specifications | Satellite |
| ANALYSIS READY DATA | Radiometric Correction | Fully automated radiometric correction based on CARD4L specifications | Satellite |
| ANALYSIS READY DATA | Image Fusion | Multi-resolution Analysis for scientific pansharpening. This technique retains the spectral fidelity of the MS image during the pansharpening process | Satellite |
| ANALYSIS READY DATA | CARD4L Product Packaging | Metadata, report and file format creation basd on CARD4L specifications | Satellite |
| UTILITIES | File Conversion | Convert imagery between popular file formats | Satellite, Aerial, UAV, Radar, DEM |
| UTILITIES | Data Conversion | Convert bit-depth, interleaving and more | Satellite, Aerial, UAV, Radar, DEM |
| UTILITIES | Bitmap and Vector Conversions | Convert between bitmaps, points, lines and polygons | Vector |
| UTILITIES | Data Merge | Combines multiple bands from several files into a singe file by using the georeferencing of the source files | Satellite, Aerial, UAV, Radar, DEM |
| UTILITIES | Reprojecting | Change the geographic coordinate systems and projections of imagery and vectors | Satellite, Aerial, UAV, Radar, DEM |
"*" indicates required fields
