A review of Convolutional Neural Networks in Remote Sensing Image

Effectively analysis of remote-sensing images is very important in many practical applications, such as urban planning, geospatial object detection, military monitoring, vegetation mapping and precision agriculture. Recently, convolutional neural network based deep learning algorithm has achieved a...

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Main Authors:	Liu, Xinni, Han, Fengrong, Kamarul Hawari, Ghazali, Izzeldin, I. Mohd, Zhao, Yue
Format:	Conference or Workshop Item
Language:	English
Published:	ACM Digital Library 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/27355/ http://umpir.ump.edu.my/id/eprint/27355/ http://umpir.ump.edu.my/id/eprint/27355/1/A%20review%20of%20Convolutional%20Neural%20Networks1.pdf

id	ump-27355
recordtype	eprints
spelling	ump-273552020-01-13T03:12:26Z http://umpir.ump.edu.my/id/eprint/27355/ A review of Convolutional Neural Networks in Remote Sensing Image Liu, Xinni Han, Fengrong Kamarul Hawari, Ghazali Izzeldin, I. Mohd Zhao, Yue QA75 Electronic computers. Computer science Effectively analysis of remote-sensing images is very important in many practical applications, such as urban planning, geospatial object detection, military monitoring, vegetation mapping and precision agriculture. Recently, convolutional neural network based deep learning algorithm has achieved a series of breakthrough research results in the fields of objective detection, image semantic segmentation and image classification, etc. Their powerful feature learning capabilities have attracted more attention and have important research value. In this article, firstly we have summarized the basic structure and several classical convolutional neural network architectures. Secondly, the recent research problems on convolutional neural network are discussed. Later, we summarized the latest research results in convolutional neural network based remote sensing fields. Finally, the conclusion has made on the basis of current issue on convolutional neural networks and the future development direction. ACM Digital Library 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27355/1/A%20review%20of%20Convolutional%20Neural%20Networks1.pdf Liu, Xinni and Han, Fengrong and Kamarul Hawari, Ghazali and Izzeldin, I. Mohd and Zhao, Yue (2019) A review of Convolutional Neural Networks in Remote Sensing Image. In: ICSCA '19: Proceedings of the 2019 8th International Conference on Software and Computer Applications, 19-22 February 2019 , Penang, Malaysia. pp. 263-267.. ISBN 978-1-4503-6573-4 https://doi.org/10.1145/3316615.3316712
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Liu, Xinni Han, Fengrong Kamarul Hawari, Ghazali Izzeldin, I. Mohd Zhao, Yue A review of Convolutional Neural Networks in Remote Sensing Image
description	Effectively analysis of remote-sensing images is very important in many practical applications, such as urban planning, geospatial object detection, military monitoring, vegetation mapping and precision agriculture. Recently, convolutional neural network based deep learning algorithm has achieved a series of breakthrough research results in the fields of objective detection, image semantic segmentation and image classification, etc. Their powerful feature learning capabilities have attracted more attention and have important research value. In this article, firstly we have summarized the basic structure and several classical convolutional neural network architectures. Secondly, the recent research problems on convolutional neural network are discussed. Later, we summarized the latest research results in convolutional neural network based remote sensing fields. Finally, the conclusion has made on the basis of current issue on convolutional neural networks and the future development direction.
format	Conference or Workshop Item
author	Liu, Xinni Han, Fengrong Kamarul Hawari, Ghazali Izzeldin, I. Mohd Zhao, Yue
author_facet	Liu, Xinni Han, Fengrong Kamarul Hawari, Ghazali Izzeldin, I. Mohd Zhao, Yue
author_sort	Liu, Xinni
title	A review of Convolutional Neural Networks in Remote Sensing Image
title_short	A review of Convolutional Neural Networks in Remote Sensing Image
title_full	A review of Convolutional Neural Networks in Remote Sensing Image
title_fullStr	A review of Convolutional Neural Networks in Remote Sensing Image
title_full_unstemmed	A review of Convolutional Neural Networks in Remote Sensing Image
title_sort	review of convolutional neural networks in remote sensing image
publisher	ACM Digital Library
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27355/ http://umpir.ump.edu.my/id/eprint/27355/ http://umpir.ump.edu.my/id/eprint/27355/1/A%20review%20of%20Convolutional%20Neural%20Networks1.pdf
first_indexed	2023-09-18T22:42:58Z
last_indexed	2023-09-18T22:42:58Z
_version_	1777417037459488768

A review of Convolutional Neural Networks in Remote Sensing Image

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