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Mining-Induced Seismicity in the Kola Peninsula Mines
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作者 Anatoly Kozyrev Viktor Panin Iuliia Fedotova 《Journal of Civil Engineering and Architecture》 2013年第7期897-906,共10页
Mining-induced seismicity is a reflection of rock geomechanical evolution of geological environment in the natural and man-made systems and in the mining-technical systems. In order to predict and prevent mining-induc... Mining-induced seismicity is a reflection of rock geomechanical evolution of geological environment in the natural and man-made systems and in the mining-technical systems. In order to predict and prevent mining-induced seismicity, it is necessary to research geodynamics and stress state of intact rock mass, to determine possible deformations and additional stresses as a result of large-scale rock extraction, conditions of accumulated energy release. For that a geodynamical monitoring is required on every stage of deposit development and a closing. The report considers principal influencing factors of preparation and occurrence of mining-induced earthquakes. Also it estimates precursors and indicators of rock mass breaking point, and experience concerning prediction and prevention of mining-induced seismicity in the Khibiny apatite mines in the Murmansk region, which is the largest mining province. 展开更多
关键词 Mining-induced seismicity PREDICTION precursors large-scale rock extraction.
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Automated Rock Detection and Shape Analysis from Mars Rover Imagery and 3D Point Cloud Data 被引量:9
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作者 邸凯昌 岳宗玉 +1 位作者 刘召芹 王树良 《Journal of Earth Science》 SCIE CAS CSCD 2013年第1期125-135,共11页
A new object-oriented method has been developed for the extraction of Mars rocks from Mars rover data. It is based on a combination of Mars rover imagery and 3D point cloud data. First, Navcam or Pancam images taken b... A new object-oriented method has been developed for the extraction of Mars rocks from Mars rover data. It is based on a combination of Mars rover imagery and 3D point cloud data. First, Navcam or Pancam images taken by the Mars rovers are segmented into homogeneous objects with a mean-shift algorithm. Then, the objects in the segmented images are classified into small rock candidates, rock shadows, and large objects. Rock shadows and large objects are considered as the regions within which large rocks may exist. In these regions, large rock candidates are extracted through ground-plane fitting with the 3D point cloud data. Small and large rock candidates are combined and postprocessed to obtain the final rock extraction results. The shape properties of the rocks (angularity, circularity, width, height, and width-height ratio) have been calculated for subsequent ~eological studies. 展开更多
关键词 Mars rover rock extraction rover image 3D point cloud data.
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