Surface Mine Object Detection
Surface Mine Object Detection is a machine vision task that involves identifying and localizing objects of interest within surface mining environments, distinguished by its focus on the unique spatial, environmental, and operational characteristics of open-pit mining sites.
12
Publications
316
Citations
56
Authors
25
Institutions
Publications per year
2017–2026
4
Parents
12
56
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University of Hawaii System
Honolulu, United States
1 h-index
3 publications
66 citations
China University of Mining and Technology
Xuzhou, China
1 h-index
3 publications
78 citations
Aalborg University
Aalborg, Denmark
1 h-index
1 publications
26 citations

DEVCOM Army Research Laboratory
Adelphi, United States
1 h-index
5 publications
160 citations
Environmental Research Institute of Michigan
Ann Arbor, United States
1 h-index
5 publications
155 citations
US Night Vision (United States)
Roseville, United States
1 h-index
3 publications
66 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
1 h-index
4 publications
168 citations
Universidade de Santiago de Compostela
Santiago de Compostela, Spain
1 h-index
3 publications
33 citations
1–8 of 25
5 publications · 122 citations
5
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1 publications · 34 citations
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1 publications · 42 citations
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ITIVBL · 1 publications · 25 citations
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JFR · 1 publications · 13 citations
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