AI · alternatives · 2026
24 alternatives to Feature detection exploration in Lidar DEMs via differential decomp
I'm not a geospatial expert — I work in AI/ML. This started when I was exploring LiDAR data with agentic assitince and noticed that different signal decomposition methods revealed different terrain features. The core idea: if you systematically combine decomposition methods (Gaussian, bilateral, wavelet, morphological, etc.) with different upsampling techniques, each combination has characteristic "failure modes" that selectively preserve or eliminate certain features. The differences between outputs become feature-specific filters. The framework tests 25 decomposition × 19 upsampling…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
2024 · github.com · its alternatives →
- 2
I've been working on this project for about 4 years. It began as terrain only because world wide elevation data was publicly available. I then added buildings from OpenStreetMap (crowd sourced) and more recently from Overture Maps data. Some computer vision/machine learning advancements [1] in the past few years have made it possible to estimate tree canopy heights using satellite imagery alone making it possible to finally add trees to the map. The data isn't perfect, but it's within +/- 3 meters of so. Good enough to give a general idea for any location on Earth. Happy to answer…
2024 · shademap.app · its alternatives →
- 3
Trying to do gradient descent using automatic differentiation over branchy programs? Or to combine them with neural networks for end-to-end training? Then this might be interesting to you. We develped DiscoGrad, a tool for automatic differentiation through C++ programs involving input-dependent control flow (e.g., "if (f(x) < c) { ... }", differentiating wrt. x) and randomness. Our initial motivation was to enable the use of gradient descent with simulations, which often rely heavily on such discrete branching. The latter makes plain autodiff mostly useless, since it can only account for the…
2024 · github.com · its alternatives →
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Deepen 4d▲70LiDAR Point level instance and semantic segmentation
2019 · deepen.ai · its alternatives →
- 5
High-resolution surface analysis with LiDAR data. Contribute to r-follador/delta-relief development by creating an account on GitHub.
2025 · github.com · its alternatives →
- 6IE
2017 · mjmdavis.com · its alternatives →
- 7MD
2023 · louisquissetlabs.com · its alternatives →
- 8AR
2018 · tylermw.com · its alternatives →
- 9
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
- 10
2016 · github.com · its alternatives →
- 11
Abstract page for arXiv paper 1908.06062: Adversarial shape perturbations on 3D point clouds
2019 · arxiv.org · its alternatives →
- 12
Hey! My name is Dima, I am from Ukraine and I am the co-founder of Lost Pixel! We built this tool to solve our problems at work and decided to open-source it so more people can build their custom visual regression testing pipelines! If you want to chat about the tool or visual regression testing in general I am super excited to meet like-minded people! Thanks a lot for checking out the product and I hope it will serve you well if you decide to try it out :D
2022 · github.com · its alternatives →
- 13IT
I built this app over a week as a way to learn how to use TensorFlow with Mobilenets and to get some experience with Google Play (and partly as a dare). It's written in Java, as I wasn't able to find a Kotlin API for TFLite. It was built with Bazel. I'm pretty satisfied with the actual detector's performance, although I expect I could improve the UI a little bit. It's a weird UX, as you want it to be as simple and fast as possible (loss/notloss) but you also want it to have some sort of recognizability. I would love to hear your thoughts.…
2018 · its alternatives →
- 14AI
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- 16
OneGlanse▲77Free open-source GEO tracker for LLM visibility
Apr 2026 · oneglanse.com · its alternatives →
- 17
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
17d ago · huggingface.co · its alternatives →
- 19AO
This is our Atlas of Water Science. It's a globe mapping water science that colleagues have done over the past few years. Approx 300 papers got analyzed. The pipeline sends open access papers to an LLM asks the LLM to extract areas relevant to science in a form suitable for a geocoder, then we use a geocoder to get lat lons. When things happen in the same spot we jitter the locations a bit to differentiate things. gpt4o-mini was used for most of the analysis. Some of the features on the website are directly invented by Claude. There are some errors when geocoding went wrong or locations were…
2024 · wateratlas.webapp.csiro.au · its alternatives →
- 20S3
Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
2018 · scaleapi.com · its alternatives →
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- 22
I spent years manually editing large LiDAR point clouds—and I hated every moment of doing this. To make things easier, my team and I did extensive research and development on the latest state-of-the-art techniques for point cloud processing. We built a massive training dataset and trained semantic segmentation networks, all packaged into an AI-powered platform called Flai. With Flai, you can upload, view, and classify your point clouds into over 30 categories, including buildings, power lines, vehicles and many more. It’s free to try ( https://app.flai.ai/register ), and I’d…
2024 · flai.ai · its alternatives →
- 23
Punkt auf der Karte wählen und aus offenen LiDAR- und Höhendaten (DGM, DOM, Punktwolken) Schummerung, Hangneigung, Sky-View-Faktor, Openness und Local Relief Model als GeoTIFF berechnen. Kostenlos, ohne Konto, für Archäologie und Heimatforschung.
Jul 2026 · hillsha.de · its alternatives →
- 24
I wanted to record the aurora last weekend, but I only have a Blackmagic Design video camera which is clearly not made for this purpose. Recording a video of the night sky results in extreme noise to the point that you don't really see anything, so I wrote a tool to significantly reduce noise in such video recordings. Essentially it computes a moving average across video frames which significantly reduces the random sensor noise. This works because aurora changes very slowly, and it's roughly comparable to a long exposure time computed out of a video file where the individual frames have a…
2024 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →