Efficient CNN-based disaster events classification using UAV-aided images for emergency response application
- 27 March 2024
- journal article
- research article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 36 (18) , 10599-10612
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithmsSignal Processing, 2022
- FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingIEEE Access, 2021
- Accurate landslide detection leveraging UAV‐based aerial remote sensingIET Communications, 2020
- A Deep Learning Model Based on Multi-Objective Particle Swarm Optimization for Scene Classification in Unmanned Aerial VehiclesIEEE Access, 2020
- Deep Attention Neural Network for Multi-Label Classification in Unmanned Aerial Vehicle ImageryIEEE Access, 2019
- MobileNetV2: Inverted Residuals and Linear Bottlenecks2018
- Densely Connected Convolutional Networks2017
- Deep Residual Learning for Image Recognition2016
- Going deeper with convolutions2015
- CNN Features Off-the-Shelf: An Astounding Baseline for Recognition2014