SCCMDet: Adaptive Sparse Convolutional Networks Based on Class Maps for Real-Time Onboard Detection in Unmanned Aerial Vehicle Remote Sensing Images

SCCMDet: Adaptive Sparse Convolutional Networks Based on Class Maps for Real-Time Onboard Detection in Unmanned Aerial Vehicle Remote Sensing Images

Onboard, real-time object detection in unmaned aerial vehicle remote sensing (UAV-RS) has always been a prominent challenge due to the higher image resolution required and the limited computing resources available. Due to the trade-off between accuracy and efficiency, the advantages of UAV-RS are di...

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Bibliographic Details
Main Authors: Qifan Tan, Xuqi Yang, Cheng Qiu, Yanhuan Jiang, Jinze He, Jingshuo Liu, Yahui Wu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
object detection
remote sensing
sparse convolution
onboard
real time
UAV-RS
Online Access:https://www.mdpi.com/2072-4292/16/6/1031

Internet

https://www.mdpi.com/2072-4292/16/6/1031

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