IMGS Geospatial User Group 2014: Point Cloud Data in IMAGINE 2014

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This document discusses point cloud data handling capabilities in ERDAS IMAGINE 2014. It provides an overview of ERDAS IMAGINE as a comprehensive geospatial platform for processing various data types including raster, vector, point cloud, imagery, and more. New capabilities for 2015 include parcel change detection for comparing old and new imagery within parcel boundaries and reporting probability of change, as well as point cloud compression/streaming using a new Hexagon-wide format for reduced file sizes and fast access to point cloud data.

Software

POINT CLOUD DATA IN IMAGINE 2014GLEN BAMBRICK, IMGS

ERDAS IMAGINE -Overview
Comprehensive All-in-one Geospatial Authoring Platform
One-stop shop for radar, multi-spectral, hyperspectral, terrain, point cloud, photogrammetry, and basic vector analytics.
Advanced multi-core batch processing
Real-time, advanced spatial modeling environment - keeping it simple and powerful.

Aerial imagery
Point Cloud
Vector
Radar
Satellite
Hyperspectral
Thermal
Elevation
Providing an Increasing Variety of Data

Provide Actionable Information
Analyze
Measure
Enhance
Map
Visualize
Classify

Analyze
Image classification
Image enhancement
Change detection
Vegetation & Mineral indices
Spatial modeling
Slope and aspect
Intervisibility/ Viewshed
Proximity analysis
Pan Sharpening

Dynamic Interactive Analytics
Spatial Modeling is the process of extracting information from geospatial data
A deep toolbox of operations is required.
Fusing many different data types extracts more information.
Graphical and Interactive make it intuitive and easy to use.
Point Cloud
2015

Coming in 2015
Parcel Change Detection
Compares old image to new image within the parcel boundary
Designed to assist in in-office and field inspection
Reports probability of change within parcel

Coming in 2015
Point Cloud Compression and Streaming
Format being used Hexagon wide.
New format for compressing point clouds, result is ~10% of the original size.
Access is very fast
Includes generalization (i.e. pyramid layers)
ECWP Protocol used to stream from APOLLO into applications

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