Show HN: Feature detection exploration in Lidar DEMs via differential decomp https://ift.tt/QOhnU3u

Show HN: 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 methods across parameter ranges — about 40,000 combinations total. The visualization grid makes it easy to compare which methods work for what. Built in Cursor with Opus 4.5, NumPy, SciPy, scikit-image, PyWavelets, and OpenCV. Apache 2.0 licensed. I'd appreciate feedback from anyone who actually works with elevation data. What am I missing? What's obvious to practitioners that I wouldn't know? https://ift.tt/XMCSn1p January 1, 2026 at 05:59AM

Show HN: VectorDBZ, a desktop GUI for vector databases https://ift.tt/Dx3o9n0

Show HN: VectorDBZ, a desktop GUI for vector databases Hi HN, I built VectorDBZ, a cross-platform desktop app for exploring and analyzing vector databases like Qdrant, Weaviate, Milvus, and ChromaDB. It lets you browse collections, inspect vectors and metadata, run similarity searches, and visualize embeddings without writing custom scripts. GitHub (downloads and issues): https://ift.tt/fxFH5C4 Feedback welcome. If it’s useful, starring the repo helps keep me motivated. Thanks. https://ift.tt/fxFH5C4 January 1, 2026 at 08:55PM