Work

SECA-Net: A Lightweight Spatial and Efficient Channel Attention for Enhanced Natural Disaster Recognition

Year: 2024

Type: conference-paper

Source: International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

DOI: 10.1109/ict-dm62768.2024.10798955

Authors: Skander Hamdi, Abdelouahab Moussaoui, Mafaza Chabane, Ayoub Laouarem, Mohamed Berrimi, Mourad Oussalah

Institutions: University Ferhat Abbas of Setif, University of Oulu

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405521954

FWCI:

Cites: 12

Cited by:

Related to: 10