Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery

Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery

This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented resu...

Full description

Bibliographic Details
Main Authors: Xin Huang, Jiayi Li, Francesca Bovolo, Qi Wang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
change detection
multi-source remote sensing
deep learning
multi-scale
image segmentation
Online Access:https://www.mdpi.com/2072-4292/11/19/2216
id doaj-4483ebae423a436aab581585eac35287
record_format Article
spelling doaj-4483ebae423a436aab581585eac352872020-11-24T20:53:43ZengMDPI AGRemote Sensing2072-42922019-09-011119221610.3390/rs11192216rs11192216Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed ImageryXin Huang0Jiayi Li1Francesca Bovolo2Qi Wang3School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaFondazione Bruno Kessler, Università degli Studi di Trento, 38122 Trento Area, ItalyCenter for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, P.O. Box 64, 127 West Youyi Road, Xi’an 710072, ChinaThis special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.https://www.mdpi.com/2072-4292/11/19/2216change detectionmulti-source remote sensingdeep learningmulti-scaleimage segmentation
collection DOAJ
language English
format Article
sources DOAJ
author Xin Huang
Jiayi Li
Francesca Bovolo
Qi Wang
spellingShingle Xin Huang
Jiayi Li
Francesca Bovolo
Qi Wang
Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
Remote Sensing
change detection
multi-source remote sensing
deep learning
multi-scale
image segmentation
author_facet Xin Huang
Jiayi Li
Francesca Bovolo
Qi Wang
author_sort Xin Huang
title Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
title_short Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
title_full Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
title_fullStr Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
title_full_unstemmed Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery
title_sort special section guest editorial: change detection using multi-source remotely sensed imagery
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-09-01
description This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.
topic change detection
multi-source remote sensing
deep learning
multi-scale
image segmentation
url https://www.mdpi.com/2072-4292/11/19/2216
work_keys_str_mv AT xinhuang specialsectionguesteditorialchangedetectionusingmultisourceremotelysensedimagery
AT jiayili specialsectionguesteditorialchangedetectionusingmultisourceremotelysensedimagery
AT francescabovolo specialsectionguesteditorialchangedetectionusingmultisourceremotelysensedimagery
AT qiwang specialsectionguesteditorialchangedetectionusingmultisourceremotelysensedimagery
_version_ 1716796371615350784

Similar Items