Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Non-negative Matrix Factorization Features from Spectral Signatures of AVIRIS Images

2006 IEEE International Symposium on Geoscience and Remote Sensing(2006)10.1109/igarss.2006.145Source: DataRank Database

Non-negative Matrix Factorization Features from Spectral Signatures of AVIRIS Images is a research paper published in 2006 IEEE International Symposium on Geoscience and Remote Sensing (2006). On theSindex it has a DataRank of 1.0. It has been cited 12 times, with 12 citing works in its 1-hop citation network.

N/A

1.0DataRank · unranked

Scored on demand from live citation data

12 citations · 12 citing works in its network

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:OA: closedTopics (18)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 38%Citation Network 62%

Base Score Contribution

0.385

From this paper's citation signal

Citation Network Contribution

0.621

From 10 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (1)

A. Kaarna

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W2075222291

closed

publisherhttp://xplorestaging.ieee.org/ielx5/4087812/4241146/04241292.pdf?arnumber=4241292

https://doi.org/10.1109/igarss.2006.145

Fields of Study

Image Retrieval and Classification TechniquesRemote-Sensing Image ClassificationBlind Source Separation Techniques

Keywords

Non-negative matrix factorizationMatrix decompositionPattern recognition (psychology)Feature (linguistics)Computer scienceArtificial intelligenceFeature vectorSpectral signatureFeature extractionHyperspectral imagingSet (abstract data type)Matrix (chemical analysis)Remote sensingPhysicsGeology