alleycat5000

6 ms·

1.
by alleycat5000 2y ago
One way to think about is that these techniques work by integrating exactly the polynomial that interpolates the function where you're sampling it, so you need to resolve the features of the function to get good accuracy.
2.
by alleycat5000 2y ago
https://people.maths.ox.ac.uk/trefethen/ATAP/
3.
by alleycat5000 2y ago
A great book on this subject is Approximation Theory and Approximation Practice: https://people.maths.ox.ac.uk/trefethen/ATAP/ Also chebfun! https://www.chebfun.org/
4.
by alleycat5000 2y ago
It's because when you orthorectify an aerial image, you cast rays from the earth's surface to the camera, so if your model of the earth's surface is off (like when there's a giant man made structure) your mapping also ge
5.
by alleycat5000 3y ago
You can use pmtiles through mapserver via GDAL!
6.
by alleycat5000 3y ago
Breath From Salt is a great book on CF and it's history in medicine. https://benbellabooks.com/shop/breath-from-salt/
7.
by alleycat5000 3y ago
There's a lot on info/tooling on AWS' open data site as well for exploring these datasets: https://registry.opendata.aws/maxar-open-data/
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by alleycat5000 4y ago
Check out https://www.chebfun.org/ if you want to see some crazy stuff you can do with polynomials! Also the book Approximation Theory and Approximation Practice https://epubs.siam.org/doi/book/10.
9.
by alleycat5000 4y ago
Albedo hasn't launched any satellites yet...
10.
by alleycat5000 4y ago
Bicycle Quarterly (magazine by the same folks) is a great read, always such a joy when it arrives in the mail! https://www.bikequarterly.com/
11.
by alleycat5000 4y ago
This is a nice tutorial on differentiable and inverse rendering (one of the Mitsuba authors also gives the tutorial): https://shuangz.com/courses/pbdr-course-sg20/ Inverse rendering is such a cool idea... solving
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by alleycat5000 5y ago
Brompton's (folding bikes) are a really great option, just take it with you. brompton.com
13.
by alleycat5000 5y ago
I've also found Hugo's docs hard to use, but had a great experience learning it from https://pragprog.com/titles/bhhugo/build-websites-with-hugo/
14.
by alleycat5000 5y ago
This book is a fun read too!
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by alleycat5000 5y ago
There's a public effort to get it all mapped: https://seabed2030.org/
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by alleycat5000 5y ago
Here's a interesting talk on the underlying volcano and uplift. https://youtu.be/SPmT0aS0pK4
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Planet to Become Publicly Traded Company Through Merger with DMY IV(planet.com)
2 points by alleycat5000 5y ago|0 comments
18.
by alleycat5000 5y ago
I enjoyed reading Sea People: The Puzzle of Polynesia which is all about how Polynesia became populated. https://www.amazon.com/Sea-People-Polynesia-Christina-Thomps...
19.
by alleycat5000 5y ago
One of my favorite books! Pure mind candy.
20.
by alleycat5000 5y ago
We use COGs at work with mapserver (and GDAL's /vsis3/ magic) to serve up imagery internally for qa/qc: https://github.com/pedros007/mapserver-docker Literally saves hundreds of thousands of dollars
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by alleycat5000 5y ago
I watched with my mom, along with Touched By An Angel.
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by alleycat5000 6y ago
Already available: https://copernicus-dem-30m.s3.amazonaws.com/readme.html
23.
by alleycat5000 6y ago
I saw the Halide code in there, is that used in the main line or just an experiment?
24.
by alleycat5000 6y ago
Here in Colorado, we have a ballot measure on reintroducing them in the state: https://ballotpedia.org/Colorado_Proposition_114,_Gray_Wolf_...
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by alleycat5000 6y ago
Easy SIMD in the context of image processing is one of the cool things about Halide: https://halide-lang.org It was personally eye opening to see how vectorization can be the gift they keeps on giving when you can sprinkle it th
26.
by alleycat5000 6y ago
This comes up all the time in dealing with geospatial rasters. For instance, in GDAL there's a whole RFC for dealing with issues related to pixel corners versus pixel centers! https://gdal.org/development/rfc/
27.
by alleycat5000 6y ago
There is a good RadioLab on this! https://www.wnycstudios.org/podcasts/radiolab/articles/silky...
28.
by alleycat5000 7y ago
Ha was expecting something about GDAL!
29.
by alleycat5000 7y ago
There's a good paper on this: https://demuc.de/papers/schoenberger2017comparative.pdf "Our evaluation confirms that, as expected, learned descriptors often surpass SIFT on all evaluation metrics. However, we
30.
by alleycat5000 7y ago
Some really interesting work lately on "contrastive" learning, where the accuracy is really getting on par with supervised learning, e.g. https://arxiv.org/abs/2002.05709

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