SHIP DETECTION IN COSMO-SKYMED SAR IMAGERY USING A NOVEL CNN-BASED DETECTOR: A CASE STUDY FROM THE SUEZ CANAL
T. Saleh,S. Holail,X. Weng,X. Xiao,and G.-S. Xia
T. Saleh
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
Geomatics Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
S. Holail
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
X. Weng
School of Computer Science, Wuhan University, China
X. Xiao
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
G.-S. Xia
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
School of Computer Science, Wuhan University, China
National Engineering Research Center for Multi-media Software, School of Computer Science and Institute of Artificial Intelligence, Wuhan University, China
Viewed
Total article views: 317 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
191
108
18
317
15
14
HTML: 191
PDF: 108
XML: 18
Total: 317
BibTeX: 15
EndNote: 14
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads
(calculated since 05 Dec 2023)
Viewed (geographical distribution)
Total article views: 313 (including HTML, PDF, and XML)
Thereof 313 with geography defined
and 0 with unknown origin.