SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGERY USING OBJECT-BASED MARKOV RANDOM FIELD BASED ON HIERARCHICAL SEGMENTATION TREE WITH AUXILIARY LABELS
L. He,Z. Wu,Y. Zhang,and Z. Hu
L. He
College of surveying and geo-informatics, Tongji University, 200092 Shanghai, China
Z. Wu
School of remote sensing and information engineering, Wuhan University, 430072 Wuhan, China
Y. Zhang
School of remote sensing and information engineering, Wuhan University, 430072 Wuhan, China
Z. Hu
Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, Shenzhen University, 518060 Shenzhen, China
Viewed
Total article views: 648 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
369
247
32
648
20
15
HTML: 369
PDF: 247
XML: 32
Total: 648
BibTeX: 20
EndNote: 15
Views and downloads (calculated since 21 Aug 2020)
Cumulative views and downloads
(calculated since 21 Aug 2020)
Viewed (geographical distribution)
Total article views: 625 (including HTML, PDF, and XML)
Thereof 625 with geography defined
and 0 with unknown origin.