A Deep Learning Model Based on Multi-Objective Particle Swarm Optimization for Scene Classification in Unmanned Aerial Vehicles

A Deep Learning Model Based on Multi-Objective Particle Swarm Optimization for Scene Classification in Unmanned Aerial Vehicles

Recently, the increase in inexpensive and compact unmanned aerial vehicles (UAVs) and light-weight imaging sensors has led to an interest in using them in various remote sensing applications. The processes of collecting, calibrating, registering, and processing data from miniature UAVs and interpret...

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Bibliographic Details
Main Authors: Aghila Rajagopal, Gyanendra Prasad Joshi, A. Ramachandran, R. T. Subhalakshmi, Manju Khari, Sudan Jha, K. Shankar, Jinsang You
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Unmanned aerial vehicle
particle swarm optimization
deep learning
convolutional neural networks
machine learning
internet of everything
Online Access:https://ieeexplore.ieee.org/document/9146631/

Internet

https://ieeexplore.ieee.org/document/9146631/

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