Recent Tutorials

Object Analyst – Batch Classification

The CATALYST Professional Object Analyst is an object-based image-analysis (OBIA) module. It is used to segment an image into objects for classification and analysis. It differs from the traditional pixel-based approach, which focuses on a single pixel as the source of analysis. BATCH CLASSIFICATION The Object Analyst workflow has a batch classification feature. With batch …

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CATALYST Insights API via AWS Data Exchange

Table of Contents Workflow Overview Programmatically download Insights Ground Displacement sample data (Kings County) via AWS Data Exchange with Python. Requirements Subscriptions Amazon Web Services (AWS) California InSAR Displacement – Kings County Sample Libraries and Scripts Python 3.x Subscribing to CATALYST Insights free sample data on ADX Register for an AWS Account if you do …

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Changing the Working Path and AutoLaunch Settings

The following tutorial demonstrates how to change the working path and autolaunch programs in CATALYST Professional. Table of Contents How to change the default working path The following steps outline the procedure for changing the working path in CATALYST Professional. Often times you will save your data to a specific directory on your machine instead …

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Mosaic Tool

In image processing, mosaicking means to join several overlapping images to form a single, uniform image. It is similar to creating a jigsaw puzzle with your images, and then making the seams disappear. For the mosaic to look like a single image instead of a collage of images, it is important that the images fit …

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Optical Satellite Orthorectification

Table of Contents Orthorectified images (orthos) are geometrically corrected and georeferenced imagery. Orthorectification is the process of using a rigorous math model and a digital elevation model (DEM) to correct distortions in raw images. This tutorial outlines the optical satellite orthorectification process using OrthoEngine. This workflow will show how to import data, collect ground control …

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Super Registration in CATALYST Professional

Super Registration Workflow Overview The super registration algorithms can co-register images with up to 1/10th of a pixel accuracy to reduce the risk of misalignment errors. This misalignment can be caused by poor math models (e.g. inaccurate GCPs), a low quality elevation model or distortions in the camera lens. Poor alignment can make some types …

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