Automated object detection on aerial images for limited capacity embedded device using a lightweight CNN model

Automated object detection on aerial images for limited capacity embedded device using a lightweight CNN model

With the growing demand for geospatial data, challenging aerial images with high spatial, spectral, and temporal resolution achieve excellent development. Currently, deep Convolutional Neural Network (CNN) structures are applied widely for object detection. Nevertheless, existing deep CNN-based mode...

Full description

Bibliographic Details
Main Authors: Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Mahidzal Dahari
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Alexandria Engineering Journal
Subjects:
Computer vision
Deep learning
Image processing
Object detection
Aerial imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821007602

Similar Items

Similar Items