Download - World’s Fastest Image Serving Technology
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.
Confidential3
WHAT WE DO BEST
Help organizations Reduce file sizes of data to cut storage overheads, accelerate
data delivery, and boost display performance
Confidential4
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
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• 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