Work

High-Resolution Poverty Mapping with Foundation Models: A Cost-effective Approach from Street Views to Satellite Images

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825451

Authors: William Lu, Zhili Li, Yiqun Xie

Institution: University of Maryland, College Park

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDGs: No poverty, Reduced inequalities, Sustainable cities and communities

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4406495702

FWCI: 2.84

Cites: 10

Cited by: 4

Related to: 10