Work

A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification

Year: 2011

Type: conference-paper

Source: Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

DOI: 10.1109/whispers.2011.6080927

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

Institution: Duke University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1983524602

FWCI: 1.115

Cites: 13

Cited by: 3

Related to: 10