Catalyst Professional

 

🌍 Primary Users

This professional geospatial software is designed for:

• Remote Sensing Scientists & GIS Analysts processing and analyzing satellite and aerial imagery.

• Photogrammetrists & Geospatial Engineers creating orthophotos, DEMs, and 3D models from imagery.

• Environmental Scientists & Land Use Planners monitoring vegetation change, urban expansion, and natural resources.

• Defense & Intelligence Analysts performing change detection, feature extraction, and image classification.

• Agricultural & Forestry Specialists assessing crop health, forest inventory, and land cover mapping.

 

⚡ Key Features & Capabilities

🛰️ Sensor Support & Data Import

Supported Sensors:

• Optical: Landsat (1-9), Sentinel-2, MODIS, Planet, RapidEye, WorldView (1-4), GeoEye, IKONOS, SPOT (1-7), Pleiades, ASTER

• Radar: Sentinel-1, RADARSAT-1/2, TerraSAR-X, TanDEM-X, COSMO-SkyMed, ALOS PALSAR

• Hyperspectral: Hyperion, AVIRIS, HyMAP, EO-1 Hyperion

• UAV/Digital Aerial: JPEG, TIFF, RAW, and proprietary digital camera formats

Data Formats:

• Support for 100+ raster and vector formats

• Direct read of raw satellite telemetry

• GeoTIFF, NITF, HDF4/5, NetCDF, GML, KML, Shapefile, GeoPackage

• Vexcel, ADS, DMC, and other digital frame sensors

📐 Ortho-engineering & Photogrammetry

Rigorous Sensor Modeling:

• Physical and RPC sensor models for all major satellites

• Rational Polynomial Coefficient (RPC) refinement

• Orbit and attitude correction

• Atmospheric and topographic corrections

Digital Elevation Model (DEM) Extraction:

• Stereo and multi-view photogrammetry

• Dense image matching (SGM & DSM) for 3D point clouds

• LiDAR and photogrammetry fusion

• DEM editing and quality control

Orthorectification & Mosaicking:

• Orthorectification using RPCs, GCPs, and DEMs

• Seamless mosaic generation with color balancing

• Automatic tie point collection (APM)

• Large area block bundle adjustment

🧠 Image Analysis & Classification

Supervised Classification:

• Maximum Likelihood, Mahalanobis, Minimum Distance

• Spectral Angle Mapper (SAM)

• Support Vector Machine (SVM)

• Random Forest & Decision Trees

• Neural Network / Deep Learning classification (CNN, U-Net)

Unsupervised Classification:

• K-Means, ISODATA, Fuzzy C-Means

• Principal Component Analysis (PCA)

• Independent Component Analysis (ICA)

Change Detection:

• Post-classification comparison

• Spectral change vector analysis

• Multi-date principal components

• Burn severity and flood mapping

🌾 Hyperspectral & Multi-spectral Analysis

Spectral Processing:

• Spectral feature extraction (FFT, wavelet, PCA, MNF)

• Endmember extraction (PPI, N-FINDR, SMACC)

• Spectral unmixing (linear, MESMA)

• Material identification and mineral mapping

Vegetation & Agriculture:

• NDVI, EVI, SAVI, MSAVI, NDWI

• Crop health and stress detection

• Canopy chlorophyll estimation

• Leaf Area Index (LAI) retrieval

📊 Radar & SAR Processing

SAR Processing Chain:

• Radiometric calibration (beta, sigma, gamma nought)

• Speckle filtering (Lee, Frost, Gamma, Refined Lee)

• Terrain correction with DEM (Range Doppler)

• Polarimetric decomposition (H-A-Alpha, Freeman-Durden, Yamaguchi)

InSAR & DInSAR:

• Interferogram generation

• Phase unwrapping (Snaphu, Minimum Cost Flow)

• Coherence mapping and change detection

• Digital elevation model extraction from interferometry

🧩 OrthoEngine & Mosaic Editor

OrthoEngine:

• Project work-flow for rigorous orthorectification

• GCP collection and editing tools

• Bundle block adjustment reports

• Automated tie point generation

Mosaic Editor:

• Interactive seamline editing and feathering

• Global color balancing (Wallis, Linear, Logarithmic)

• Gradient blending and dodging

• Output to GeoTIFF, JPEG2000, NITF

🤖 Machine Learning & Deep Learning

Classic ML:

• Random Forest, SVM, K-Means, ISODATA

• Feature extraction (texture, shape, spectral)

Deep Learning (AI / Neural Nets):

• U-Net, ResNet, DeepLab for semantic segmentation

• Feature extraction (buildings, roads, water bodies)

• Land cover classification, change detection

• Transfer learning from pre-trained models

• GPU-based training and inference

📋 Automation & Scripting

Modeler (Visual Workflow):

• Drag-and-drop geospatial algorithm chaining

• Batch processing and process automation

• Integration of Python functions

Python & Geomatica SDKs:

• Full Python API (Geomatica/PyGeomatica)

• C/C++ API for custom algorithms and integration

• Jupyter notebook support for data science workflows

🎯 Industry Applications

🌍 National Mapping & Cartography

Base map generation, topographic mapping, ortho-photo creation, DEM/DSM extraction – National Mapping Agencies, Survey Departments.

🌾 Agriculture & Forestry

Crop classification and yield estimation, deforestation monitoring, fire detection and burn severity, forest inventory (stand delineation).

🛰️ Disaster & Emergency Management

Flood inundation mapping, earthquake damage assessment, landslide detection, wildfire progression.

🏙️ Urban & Land Use Planning

Land cover/land use change, impervious surface mapping, infrastructure extraction (roads, buildings, utilities).

🛡️ Defense & Intelligence

Change detection, feature extraction (vehicles, installations), image enhancement, tactical mapping.

🔬 Scientific Research

Climate (glacier, permafrost, sea ice), geology, hydrology, archeology – University, Government research labs.