Work

Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery

Year: 2013

Type: article

Source: IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/tgrs.2013.2257175

Authors: Christopher R. Ratto, Kenneth D. Morton Jr, Leslie M. Collins, Peter A. Torrione

Institutions: Johns Hopkins University Applied Physics Laboratory, Duke University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: University of Missouri, University of Florida

OpenAlex ID: W2081452833

FWCI: 1.949

Cites: 35

Cited by: 13

Related to: 10