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

MeasureEnhance

Map

Visualize

Classify

Analyze

Image classification

Image enhancement

Change detection

Vegetation &

Mineral indices

Spatial modeling

Slope and aspect

Intervisibility /

Viewshed

Proximity analysis

Pan Sharpening

Landcover Classification

Image Segmentation

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

Analytics

Process Raster Data

Analytics

Process Vector Data

Point Cloud Handling

Layout

Point Cloud – Corridor Monitoring

Point Cloud Analysis

In IMAGINE 2014

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 StreamingFormat 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

2015 - Streaming Point Clouds