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Web时空数据挖掘研究进展 总被引:2,自引:0,他引:2
随着互联网的迅速发展,Web已经渗透到人类社会的各个角落,其中蕴含着大量关系社会、经济和生活的信息。从中挖掘出刻画事件时空范围的时空信息,可以为探索社会、自然事件以及行为主体的时空运动规律和知识提供丰富的素材。系统综述了Web时空数据挖掘的理论、方法和应用,首先介绍了Web时空数据挖掘的概念及分类,详细阐述了Web时空信息的特点和提取方法,其次针对3类Web时空数据挖掘的内容、方法及应用进行了综述,最后探讨了Web时空数据挖掘面临的难题、研究热点和未来领域的发展方向。 相似文献
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新安矿区主采煤层上部至小浪底库区水体之间地层主要以砂岩、泥岩和砂质泥岩互层为主,厚度90~210m。为研究该矿开采状态下上覆岩层破坏程度和导水裂隙发育高度,在井下3个不同采厚的工作面上布置了7个地面钻孔,采用声波扫描成像测井及其它测井参数对采前、采后上覆岩层进行动态观测。以K3钻孔为例,介绍了超声波扫描成像测井的原理及辨别井孔中裂缝发育程度的方法。K3孔在第一次测量时,井深217~218m处明显存在裂隙,但在第二次测量后该裂隙呈现出闭合反应,证实煤层开采放顶后上部岩石下沉使得原有裂隙闭合;同时发现自194m以上因煤层采空放顶后发育有高度为69.10m的裂隙带。根据新安煤矿K2、K3、K5、K6、K7号孔超声波扫描成像及其它常规测井的地质解释成果可见,该矿导水裂隙带的发育高度随着推进距离和采厚增大而增大,但新安矿区软硬互层上覆岩层的地质构造可有效抑制导水裂隙带的发育程度。 相似文献
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Modeling sediment transport depends on several parameters, such as suspended sediment concentration (SSC), shear stress, and settling velocity. To assess the ability of Pulse-Coherent Acoustic Doppler Profiling (PC-ADP) to non-intrusively quantify spatial and temporal SSC and settling velocity at seabed, a field experiment was conducted in the Beibu Gulf (Tonkin Gulf), in the South China Sea. The spatial profiles and temporal variations in SSC at 1 m above bottom were derived from PC-ADP acoustic backscatter intensity determinations after being calibrated with the optical backscatter sensor (OBS) measurements at the same elevation. The PC-ADP and OBS results agreed well. The temporal settling velocity obtained from Rouse profiles agreed well with the Soulsby formula based on size information by LISST (laser in situ scattering and transmissometry). Tides and tidal currents are diurnal in the gulf. SSC increased with increasing ebb and flood flow, and it rapidly decreased with the increase of distance from the seabed. The maximum SSC at 0.16 m and 1.3 m above bottom reached 816 mg/L and 490 mg/L during spring tides, respectively. The sediments consisted of mineral particles 23-162 μm in diameter and 0.05-2.04 cm/s in settling velocity. Generally, both the SSC and settling velocity followed variations in the bottom friction. Results suggest that PC-ADP is able to provide reasonable SSC and settling velocity measurements of both profiles and time series for a long study period. 相似文献
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Taking a typical inland wetland of Honghe National Nature Reserve (HNNR), Northeast China, as the study area, this paper studied the application of L-band Synthetic Aperture Radar (SAR) image in extracting eco-hydrological information of inland wetland. Landsat-5 TM and ALOS PALSAR HH backscatter images were first fused by using the wavelet-IHS method. Based on the fused image data, the classification method of support vector machines was used to map the wetland in the study area. The overall mapping accuracy is 77.5%. Then, the wet and dry aboveground biomass estimation models, including statistical models and a Rice Cloudy model, were established. Optimal parameters for the Rice Cloudy model were calculated in MATLAB by using the least squares method. Based on the validation results, it was found that the Rice Cloudy model produced higher accuracy for both wet and dry aboveground biomass estimation compared to the statistical models. Finally, subcanopy water boundary information was extracted from the HH backscatter image by threshold method. Compared to the actual water borderline result, the extracted result from L-band SAR image is reliable. In this paper, the HH-HV phase difference was proved to be valueless for extracting subcanopy water boundary information. 相似文献
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Wetland research has become a hot spot linking multiple disciplines presently. Wetland classification and mapping is the basis for wetland research. It is difficult to generate wetland data sets using traditional methods because of the low accessibility of wetlands, hence remote sensing data have become one of the primary data sources in wetland research. This paper presents a case study conducted at the core area of Honghe National Nature Reserve in the Sanjiang Plain, Northeast China. In this study, three images generated by airship, from Thematic Mapper and from SPOT 5 were selected to produce wetland maps at three different wetland landscape levels. After assessing classification accuracies of the three maps, we compared the different wetland mapping results of 11 plant communities to the airship image, 6 plant ecotypes to the TM image and 9 landscape classifications to the SPOT 5 image. We discussed the different characteristics of the hierarchical ecosystem classifications based on the spatial scales of the different images. The results indicate that spatial scales of remote sensing data have an important link to the hierarchies of wetland plant ecosystems displayed on the wetland landscape maps. The richness of wetland landscape information derived from an image closely relates to its spatial resolution. This study can enrich the ecological classification methods and mapping techniques dealing with the spatial scales of different remote sensing images. With a better understanding of classification accuracies in mapping wetlands by using different scales of remote sensing data, we can make an appropriate approach for dealing with the scale issue of remote sensing images. 相似文献