World’s Fastest Image Serving Technology

ERDAS APOLLO ESSENTIALS

Siya Ngcobo, Application Engineer

21, July, 2015

Confidential2

Current Market Trends

• Managing geospatial imagery remains problematic. Despite cheaper storage and

increasing processing power, imagery is continually captured

• At higher resolution and bit depth

• Over larger coverage areas

• More frequently

• With more spectral bands

• IT Departments have not maintained the velocity of Geospatial Imagery in increasing

storage allocations

• Storage is still a constraint

• End users now demand like never before

• Fast end-to-end delivery of imagery. Time is critical

• Direct access to historical imagery

• Web service delivery

• Everything has to be fast.

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WHAT WE DO BEST

Help organizations Reduce file sizes of data to cut storage overheads, accelerate

data delivery, and boost display performance

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Big Data made Small

The World’s Largest Geospatial Image?

A single aerial image covering Germany @ 20cm GSD

3,210,000 px by 4,340,000px

iBig Data Made Small g Data Made Small

38 TB Uncompressed

370,000 source files

50 TB with image pyramids

875gb ECW Compressed

1 ECW file VISUALLY LOSSLESS

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Compression to ECW

ECW image compression:

• Instant storage savings

• Faster performance

• Full visual quality

1000 Gb

400 Gb

50Gb

1300 Gb

Uncompressed

Original

Numerically

Lossless

Compression

ECW Visually

Lossless

Compression

Uncompressed

Original & Pyramids

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Tile cache – Worked example (Storage)

Days needed to generate

Pyramids

level 17

cache

level 19

cache

level 18

cache

ECW+29

+

116

+7 7

Imagery Size

71Tb

Uncom

pre

ssed

With P

yra

mid

s

With tile

-cache to level

17

1

,2m

With tile

-cache to level 18

60 c

m

With tile

-cache to level 19

30cm

38Tb

ECW

0.85Tb

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Storage Costs - Tile-cache & Pyramid vs. ECW

Amazon S3 Cloud storage Costs

comparison example

mazonS3 Cloud storage Costs comparison

example

• 98% lower costs using ECW

• >$4.6k monthly saving

• Up to $73k annual saving

$ cost per month

$ 4,700

ECW

$ 82

$ 6,200

Data generated using the Amazon S3 Cloud Calculator

$ 4,600

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Single ECW Image Mosaic – South Africa (50cm)

• Input Data--------------

• Structure:• 4Band, RGB • 45,816 image files

• 29 TB uncompressed

• Output Data--------------• File Type: ECW

• Structure:• 3 Band, RGB • Single Image File

• 440 GB compressed.

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Hexagon Point Cloud (HPC) format for streaming point clouds

Unlock your LiDAR data.

Extend the reach of large

repositories of LiDAR data

stored in the enterprise.

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Worked Example : Streaming

• ECW enables

• 635mb to 38mb

• No visual loss in image quality

• Compress in 26 seconds

• Decompress faster than original

Original

15:1 ECW

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What is ECWP?

• Streaming protocol for Lidar and Imagery

• Distributed decompression

• Client decodes

• Client transforms, reprojects

• Client caches

• US Patents

• #US6633688

• APOLLO Server dependency

• Efficient Network usage

• ECW , HPC and JP2 format compatible

• Reduces latency, improves draw performance

• Higher performance, less data required than ISO JPIP

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ERDAS APOLLO Image Delivery Workflow

ERDAS

APOLLO

Essentials

Raster(TIFF, ECW,

JPG2000, etc..)

WMS

WMT

S

JPIP

WMS-

TDesktop

Mobile

BrowserECWP

Geo

Svcs

Image

X

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ECWP v3

13

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Temporal Support – WMS and WMTS

• Publish into Geospatial Portal or other Time-aware clients

14

• Enable temporal

support and

enable customers

to build

applications to

highlight change

over time

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Watermarking

• Protect intellectual property rights for data by watermarking

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Who Uses ECW?

Esri ArcGIS

AutoCAD

Safe FME

Bentley Microstation

GE Smallworld

Globalmapper

TatukGIS

Oziexplorer

PCI Geomatics

Pitney Bowes MapInfo

CadCorp

gvSIG

GDAL

QGIS

Mapserver

Geoserver

ERDAS IMAGINE

ERDAS ERMapper

ERDAS ERViewer

GeoMedia

GeoMedia Smart Client

GeoMedia WebMap

& Many more…

Just some of the products that consume the ECW

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ECW for ArcGIS Server

• An extension for ArcGIS Server to enhance delivery of ECW

file format

NB ECW for ArcGIS Server was developed using

the ECW JP2 SDK

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Key Benefits of using ERDAS APOLLO Essentials

• Reduces your IT overhead

• Storage footprint

• Significantly reduces Latency – ideal for low bandwidth environment

• Multiple Server in one

• Proven to be the fastest server technology currently on the market – TRY IT OUT

• SUPPORT for Lidar and point Cloud Data