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Haining
- 这是Robert Haining先生在武汉大学遥感学院的讲课文档，GIS空间相关分析，非常难得。-This is Mr. Robert Haining Remote Sensing, Wuhan University School of lectures documents, GIS spatial correlation analysis, very rare.
heavy-metal-pollution-in-city
- 本文采用地统计分析中的克里格插值法，利用ArcGIS 10软件选择普通克里格插值法对319个样本点的浓度情况进行空间插值，根据插值结果得到了重金属元素的空间分布情况预测图。-This article adopting the kriging interpolation method in statistical analysis, using the ArcGIS software 10 choose ordinary kriging interpolation method for conce
Discrete-choice-analysis-of-spatial-attack-sites.
- This paper presents an algorithm for the complete specification of multinomial discrete choice models to predict the spatial preferences of attackers. The formulation employed is a modification of models previously applied in transportation flo
Spatial-analysis-with-preference-specification-of
- Spatial analysis looks for statistically significant patterns in observed events that occur at specified locations. Most examples of spatial analysis consider aggregate characteristics over a number of coarsely defined regions rather than point pro
Using-Temporal-Indicator-Functions-with-Generaliz
- A significant amount of research and practice in the law enforcement arena focuses on spatial and temporal event analysis. And although some efforts have been made to integrate spatial and temporal analysis, the majority of the previous work focu
multiscale
- 按照二维函数的特点和视觉机制,提出了用来捕捉纹理基元的纹理检测器函数,基于纹理检测器和扩展的小波变换,提出了基于能量分解的影像纹理多尺度分析方法,并按照神经动力学的侧抑制和端点抑制等理论,实现了对多尺度纹理特征的融合，这一多尺度分析方法直接将影像纹理能量在时间一尺度空间分解,包含了相位信息,避免了基于线性变换多尺度分解引起的能量与相位分离,为纹理分析提供了一个层次性的框架,有效提高了纹理的识别能力。-According to the characteristics of two-dimensio
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
06670125
- 本文提出了一种新的自动换合成孔径雷达（SAR）时间序列检测技术，即广义有序序列分析方法。-This paper presents a new automatic change de- tection technique for synthetic aperture radar (SAR) time se- ries, i.e., Method for generalIzed Means Ordered Series Analysis (MIMOSA). The method comp