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arXiv Computer Vision By Aniq Ahmad, Musham Ahmad Malik, Ahmad Mustafa, Heather Bedle

DeepStratNet: A Context-Aware Coordinate Regression Framework for Seismic Horizon Tracking under Sparse Labels

Read the original on arXiv Computer Vision →

DeepStratNet introduces a context‑aware coordinate regression framework for seismic horizon tracking that directly predicts time/depth coordinates at each lateral position, avoiding the need for dense segmentation masks. The lightweight regression head, combined with an LSTM for inter‑slice context and geology‑informed regularization, outperforms traditional segmentation models on a New Zealand seismic volume, especially under sparse labeling. The method also provides a built‑in quality control by capturing local geological variations through prediction variability across traces.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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