Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation

In recent years, image segmentation techniques based on deep learning have achieved many applications in remote sensing, medical, and autonomous driving fields. In space exploration, the segmentation of spacecraft objects by monocular images can support space station on-orbit assembly tasks and spac...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 11; p. 4222
Main Authors:	Liu, Yuan, Zhu, Ming, Wang, Jing, Guo, Xiangji, Yang, Yifan, Wang, Jiarong
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.06.2022 MDPI
Subjects:	Algorithms Annotations Datasets Deep learning DeepLabv3 dilated convolution Discovery and exploration Image processing Machine learning Methods multi-scale Neural networks Outer space Remote sensing Satellites semantic segmentation Semantics Space exploration Space ships Space vehicles China deep learning DeepLabv3 semantic segmentation dilated convolution multi-scale
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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