Work

Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data

Year: 2017

Type: conference-paper

Source: IEEE Applied Imagery Pattern Recognition Workshop

DOI: 10.1109/aipr.2017.8457961

Authors: Jordan M. Malof, Sravya Chelikani, Leslie M. Collins, Kyle Bradbury

Institution: Duke University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Duke Energy

OpenAlex ID: W2889969718

FWCI:

Cites: 15

Cited by: 1

Related to: 10