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ICSDM aims to provide a unique inter- and multi-disciplinary forum for all the professionals involved in spatiotemporal big data analysis, trajectory mining, stream data mining, night-time light remot...
The coal development zone of Northern Shaanxi, China is one of the eight largest coal mines in the world, also the national energy and chemical bases. However, the coal mining leads to ground surface ...
Recognition and extraction of mining ground deformation can help us understand the deformation process and space distribution, and estimate the deformation laws and trends. This study focuses on the a...
Ground subsidence due to underground coal mining threatens the safety of surface infrastructure such as buildings, roads, bridges, powerlines and telecommunication cables, and can causeenvironmental p...
The principle and method are given to build spatio-temporal database for mining land via analyzing the data storage modes in reality database and history database. Based on building thespatio-temporal...
The defection of single data source can be solved with fusion between TM and SAR images. It provides a better solution for land surface monitoring in the mining areas. Results of experiment showed tha...
The present study addresses the attempt made to explore the temporal (5-day revisit) and spatial resolution (56m) potential of AWiFS sensor aboard IRS-P6 to generate the land use land cover informatio...
Open pit mining sometimes intercepts highly permeable zones, with resulting high inflows of water into the excavation area. This remains a major problem in the mining industry and requires constant mo...
RADAR INTERFEROMETRY FOR SAFE COAL MINING IN CHINA     DInSAR  Mining  Ground Deformation Monitoring  SAR       font style='font-size:12px;'> 2015/12/30
Land surface deformation due to underground mining is always a concern to the local communities and environment. The underground coal mines at the study site in Northern China are located quite closel...
Based on hyper spectral data mining techniques, field spectra data is used to study the diagnosable spectral signatures of uranium mineralization factors in this paper, and the spectral features of pl...
The tremendous need for mineral resources rooting from the rapid population growth and economical development in china has greatly accelerated exploitation of various minerals for last two decades, as...
With the rapid development of economy, Chinese rural land-use is experiencing tremendous change, and the constant retreat of the land-use area causes a huge reaction recently. In this paper, we take t...
Change Detection Based on Spatial Data Mining     Photogrammetry  Land Cover  Change Detection  Data Mining  Photography       font style='font-size:12px;'> 2015/10/12
Spatial data mining (SDM) and change detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and t...
A new algorithm “T-Apriori” based on time constraint is designed and implemented on the basis of analyzing the related definitions and general steps of temporal association rule mining. The concepts o...
This paper puts forward a method that combines the learning algorithm of BP neural network with genetic algorithm to train BP network and optimize the weight values of the network in a global scale. T...

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