Work

Anomaly detection in hyperspectral imagery: a comparison of methods using seasonal data

Year: 2007

Type: conference-paper

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.718381

Authors: Patrick Hytla, Russell C. Hardie, Michael T. Eismann, Joseph Meola

Institutions: University of Dayton, United States Air Force Research Laboratory

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2047576080

FWCI: 1.901

Cites: 9

Cited by: 13

Related to: 10