Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
8
Authors
Xiao, Chao; An, Wei; Zhang, Yifan; Su, Zhuo; Li, Miao; Sheng, Weidong; Pietikäinen, Matti; Liu, Li

Publication channel information

Title of journal/series
IEEE transactions on pattern analysis and machine intelligence
ISSN (print)
0162-8828
ISSN (electronic)
1939-3539
ISSN (linking)
0162-8828
Publisher
IEEE
Publication forum ID
57568
Publication forum level
3
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2024
Bibliographical publication year
2024
Reporting year
2024
Journal/series volume number
46
Journal/series issue number
12
Page numbers
11532-11539
DOI
10.1109/TPAMI.2024.3409824
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
Highly efficient; moving object detection; satellite videos; unsupervised
Additional information
[Epub ahead of print 5 June 2024]

Funding information

Funding information in the publication
This work was supported by the National Key Research and Development Program of China No. 2021YFB3100800, and the National Natural Science Foundation of China under Grant 62376283.

Source database ID

WoS ID
WOS:001364431200253
Scopus ID
2-s2.0-85195378154
Other database ID
, IEEE: 10549838