IEEE

Edge-Guided and Multiscale Feature Optimization-Based Semantic Segmentation Network for Remote Sensing Images

Abstract: Accurate semantic segmentation of remote sensing imagery is fundamental to geospatial analysis, yet the task remains daunting due to intrinsic complexities such as blurred object boundaries, ...
GitHub

Spectral Scalpel: Amplifying Adjacent Action Discrepancy via Frequency-Selective Filtering for Skeleton-Based Action Segmentation

Abstract: Skeleton-based Temporal Action Segmentation (STAS) seeks to densely segment and classify diverse actions within long, untrimmed skeletal motion sequences. However, existing STAS ...
IEEE

Deep Geospatio-Semantic Guided Network With Pseudo-Label Consistency for Domain-Adaptive Remote Sensing Segmentation

Abstract: Domain-adaptive remote sensing image (RSI) semantic segmentation mitigates the overfitting problem that affects the effectiveness of segmentation, which results from the scarcity of ...
GitHub

Multi-platform point cloud analysis — registration, segmentation, surface reconstruction, and feature extraction for aerial, terrestrial, and UAV LiDAR.

Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...