CATALYST Microservices

Optimized for processing earth imagery In the cloud

CATALYST Microservices is our library of workflows and algorithms that are implemented on major cloud providers to automate and simplify the user experience and data acquisition, eliminate costly waste, and automatically scale to minimize project duration.

Diagram explaining how CATALYST CATALYST Microservices library of workflows and algorithms that are implemented on major cloud providers

MOVE PROCESSING, NOT DATA

Diagram showing the CATALYST Insights data flow from satellite to imaging

Climate change is accelerating the risk ground displacement poses to critical infrastructure around the world. Mitigate damage to your assets by monitoring this geohazard in near real-time.

LIMITLESS SCALABILITY

Diagram highlighting the differences between Insights process and the old model

CATALYST Insights taps into satellite radar (SAR) constellations to cost-effectively acquire near real-time millimeter-level measurements of ground displacement around your assets.

COST PREDICTABILITY

Diagram showing the cost control inherent in CATALYST Insights

Flexible user interface and API makes it easy for business users and technology teams to access ground displacement measurements and alerts to augment their risk management solutions.

The smarter way to process earth imagery in the cloud

CATALYST Microservices solves one of the biggest barriers to the commercialization of information derived from Earth imagery… How to cost-effectively process the many petabytes of Earth imagery at scale.

What are CATALYST Microservices

Independent building blocks optimized for processing Earth imagery in the cloud

Image providers and governments continue to grow their catalogues and archives of Earth imagery in public clouds. This has opened an opportunity to leverage container technology and cloud resources to reshape processing pipelines and add unprecedented efficiencies and scale. With CATALYST Microservices it is possible to cost effectively process terabytes of Earth imagery in minutes.

What are containers?
Containers are standalone executable software packages that include everything needed to run a process, such as: code, runtime, security, and all other dependencies. Because of this, containers are light-weight and can run on any server (and OS) without the need for installation or configuration. This makes it possible to deploy and scale containers on any of our cloud partner servers, in seconds.

CATALYST Microservices is our library of containerized workflows and algorithms that are implemented on major cloud providers and orchestrated to automate and simplify the user experience, data acquisition, eliminate costly waste, and automatically scale to minimize project duration.

How do CATALYST Microservices optimize Earth image processing in the cloud?

Let’s compare CATALYST Microservices to a traditional implementation of the same workflow and scenario to better understand how CATALYST Microservices benefit Earth image processing in a cloud environment.

Scenario Details:

The goal is to orthorectify 10,000 satellite images
You must procure a software solution
You have access to two powerful processing servers
It takes 12 hours to download or upload all 10,000 images
It takes 5 minutes to orthorectify 1 image
Transfer the 10,000 Ortho-images to your customer’s server for final delivery

Implementation Comparison

CATALYST Microservices

PROJECT COSTING

COST CERTAINTY

Total time: N/A

Register for a free API token
Calculate cost based on consumption model
- Price includes: data, hardware, software, infrastructure
Submit competitive quote

PROJECT SETUP

NO INSTALLATION OR CONFIGURATION

Total time: ~6 person hours

Learning Curve (4 hours)
Build workflow (2 hours)

RUN PROJECT

NO DOWNLOAD, FULL SCALABILITY

Total time: <10 minutes

Run process on 10,000 microservices (5 minutes)
Initialize 10,000 microservices in a few minutes at no extra cost
Microservices initialize on a cloud server next to the data
10,000 images run in parallel at 5min per image

Diagram showing CATALYST Microservices data flow

DELIVERY

TRANSFER RESULTS

Total time: 12 hours (+1 business day)

Transfer files to client server (12 hour upload)

Traditional Tech (Status Quo)

PROJECT COSTING

ESTIMATED COST

Total time: N/A

Estimate cost of hardware (processing time)
Estimate cost allocation of software
Calculate cost of data
Build buffer to account for unaccounted costs
Submit quote with price buffer

PROJECT SETUP

INSTALL AND CONFIGURE HARDWARE

Total time: ~18 person hours (+2 business days)

Purchase and obtain software licenses (8 hours)
Install and configure processing server (4 hours)
Learning Curve (4 hours)
Build workflow (2 hours)

RUN PROJECT

DOWNLOAD DATA, LIMITED SCALABILITY

Total time: ~84 hours (4 business days)

Download data from cloud (12 hours)
Run process on 2 local processing servers (3.5 days)
- Each server can run 5 images in parallel
- 10 images run in parallel at 5min per image

DELIVERY

TRANSFER RESULTS

Total time: 12 hours (+1 business day)

Transfer files to client server (12 hour upload)

Outcomes

CATALYST Microservices

Project Turnaround Time

0 Hours

Other Benefits

Scaled the process to run all 10,000 images in parallel at the same price as running each in sequence
Cost certainty made it easy to submit the most competitive price point
Cost certainty eliminated risk to the profit margin
Reduced wasteful costs and time by eliminating unnecessary data transfer and storage
No installation or configuration of software and hardware simplifies and accelerates setup

Traditional Tech (Status Quo)

Project Turnaround Time

0 Days

Other Challenges

Expensive and time consuming to scale (increase processing capacity)
Often build in price buffer to manage cost uncertainty
Added transfer and storage costs
Requires installation and hardware configuration

Explore Our Rich Set of Capabilities

TYPE:

Capability:

Description:

Support:

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
TYPE	Capability	Description	Support

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Our competitive plans remove the traditional barriers of accessing professional software for processing and analyzing earth observation imagery and is trusted by thousands of geospatial professionals from around the world.