Esri and rapidlasso develop joint LiDAR compressor

[Martin Isenburg]

Hello,

check out today's press release for some fantastic news. Esri and rapidlasso are announcing to join forces and together develop a LiDAR compressor for LAS 1.4 in open source avoiding unnecessary format fragmentation. Their new “LASeasy” tool not only compresses but also optimizes LAS files for efficient area-of-interest queries in the cloud ... (-:

http://rapidlasso.com/2014/04/01/esri-and-rapidlasso-develop-joint-lidar-compressor/

Regards,

Martin @rapidlasso

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[Kirk Waters - NOAA Federal]

Martin,

That's excellent news. Glad to hear it!

Regards,

Kirk

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[Evon Silvia]

Hi Martin,

Fantastic news! I'm very excited to download this DLL as soon as I can get my hands on it. I loved the "evil-by-accident" quote. Does this mean that the DLL updates will be more infrequent to follow the ESRI update cycle?

Will the EVLRs and VLRs mentioned in the article be documented in an open standard so the rest of us can exploit this treasure trove of information with or without the DLL?

Evon

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[Terje Mathisen]

Martin Isenburg wrote:
> Hello,
>
> check out today's press release for some fantastic news. Esri and
> rapidlasso are announcing to join forces and together develop a LiDAR
> compressor for LAS 1.4 in open source avoiding unnecessary format

> fragmentation. Their new “LASeasy†tool not only compresses but

> also optimizes LAS files for efficient area-of-interest queries in the
> cloud ... (-:
>
> http://rapidlasso.com/2014/04/01/esri-and-rapidlasso-develop-joint-lidar-compressor/

_Very_ nice!

I particularly liked the caption for the illustration: "reordering
points along an adaptive space-filling curve".

I strongly suspect Hilbert is involved in this reordering. :-)

If I had to design it I would use a basic (square) block size
sufficiently large that it can be compressed/decompressed with
near-optimal efficiency, while avoiding the need to load lots of unused
surrounding terrain.

With ~10 ms to access a random disk block and 100 MB/s transfer speed,
about 1 MB of data is needed for good local balance, while an
internet-based structure would prefer somewhat smaller blocks, maybe all
the way down in the 10-100 KB range?

This would decompress into maybe 5-50K points, so ~100x100 m with common
point densities.

These blocks would then be ordered according to their bit-interleaved
(x,y) coordinates.

Am I close?

Terje

--
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[JeeWee]

Congratulations Martin!

would be nice if every conflict between Super Powers could be solved so satisfactory as this one.

regards, Jan Willem

[Amit Kokje]

Congratulations Martin :-)

This is indeed a fantastic news.

I am sure a compressor/optimizer for LAS 1.4 and that too in open
source will be of great interest in LiDAR community.

I am looking forward to test and use the new tool.

Regards.

Amit

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> Download LAStools at
> http://lastools.org
> http://rapidlasso.com
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[Veldman, Edgar]

Hi Martin,

Good efforts, great outcome. You're not one to take no for an answer that easily do you? ;)

Not just a joined forces compressor, but now also getting the spatial indexing embedded, great! 

Edgar

PS: I just hope this is not a very bad april fools joke :(

--

[FRITZMANN Patrick]

If it wasn’t a 1.april joke would be very cool…

it’s not a joke, or?

 

Hopefully,

Patrick

--

[Mike Lackner]

Hi Martin,

That sounds really good...I just hope April Fools Day has nothing to do with this announcement! :))

Mike

--

[Martin Isenburg]

April Fools!!!