作者: K.A. Galybin , F. Boschetti , M.C. Dentith
DOI: 10.1016/J.JOG.2006.09.006
关键词: Stage (hydrology) 、 Data acquisition 、 Geology 、 Data mining 、 Path (graph theory) 、 Identification (information) 、 Statistics 、 Process (computing) 、 Simulated annealing 、 Data collection 、 Sampling (signal processing)
摘要: Abstract This study presents a new strategy for the design of geophysical surveys based on non-uniform sampling across survey area. The comprises several stages. first stage is and implementation an initial, large station spacing, that defines response in areas where there little variation, also allows identification interest more data are required. spacing this first-stage can be selected probability detecting such given size. Using gravity as example, identified within dataset occurrence variations likely to due source ‘edges’. used prepare edge density map, thus identifying regions area require further sampling. edges next phase acquisition, station/sampling frequency being proportional density. As result, array produced. If necessary process repeated edge-density analysis combined first- second-stage data. To improve logistics collection array, simulated annealing algorithm determine close-to-optimal travel path results acquired it provides most information, producing accurate dataset, whilst minimising cost collecting