arXiv (All)
open access
HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
Hyperspectral remote sensing provides dense spectral measurements that are indispensable for material-level Earth observation, yet the construction of a general-purpose hyperspectral foundation model remains difficult. Two bottlenecks are especially limiting. First, large hyperspectral corpora rarel
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Monitoring Terrestrial Ecosystem Productivity Using Hyperspectral Satellite Data#438650
- Multi-Sensor Mapping of Vulnerable Urban Settlements Using SAR, Multispectral, and Hyperspectral Imagery: A Case Study in Córdoba, Argentina#792929
- Multi-Sensor Mapping of Vulnerable Urban Settlements Using SAR, Multispectral, and Hyperspectral Imagery: A Case Study in Córdoba, Argentina#788925
- Intelligence Where Data is Born: Vision Transformer-Based On-Orbit Change Detection for Earth Sensing#814140
- Systematic review of satellite-based earth observation applications for wildlife ecology research in terrestrial polar and mountain regions / Helena Wehner, Andreas Dietz, Samuel Kounev, Claudia Kuenzer#1106434
Record · ID 1141663
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive