基于知识自适应图像平滑

简要地讨论几种典型的空间域图像平滑方法，提出了一种新的保护图像边沿细节的平滑方法──补偿型中值法，并设计了一个基于知识的自适应平滑处理系统的框架。     

Development of paleolimnological inference models for pH, total nitrogen and specific conductivity based on planktonic diatoms

Canonical correspondence analysis (CCA was used to explore and identify statistically significant relationships between the distributions of planktonic diatoms and the physical and chemical properties of 50 Connecticut lakes. Six variables (pH, total nitrogen, calcium, sulfate, potassium and chlorophyll- a concentrations) were found to be significantly correlated with either or both of the first two extracted axes. The pH and calcium concentration, and to a lesser extent total nitrogen concentrations, were the most important variables controlling the distributions of planktonic diatoms in this suite of lakes. Paleolimnological inference models were developed for pH, total nitrogen (TN) and specific conductivity. Weighted averaging with (WAtol) and without (WA) tolerance downweighting, with and without bootstrap resampling techniques, and using either classical or inverse deshrinking methods were used to develop inference models for each variable. The pH and TN yielded sufficiently high 1/2 ratios and a highly significant first (constrained) axis when entered as single variables in both constrained and partially constrained CCA analyses, supporting the idea that reliable inference models could be developed for these variables. The r2 and RMSE of prediction values ranged from 0.73 to 0.86 and 0.37 to 0.6, respectively for pH, and from 0.4 to 0.64 and 59 g/l to 95 g/l, respectively for TN. Inference models for specific conductivity also yielded significant goodness-of-fit statistics. However, because specific conductivity was removed from the CCA analysis due to its high variance inflation factor and did not yield a significant relationship when entered as the sole variable in a partial constrained CCA, inference models for this variable will probably not yield any additional environmental information. The use of only planktonic diatoms in construction of inference models is discussed.     

重庆渝北地区地质环境质量模糊评判方法

近几年来，重庆市渝北地区地质环境质量显著恶化，严重威胁区内工、农业生产的发展。针对这种现状，本文较详尽地介绍了模糊综合评判方法在地质环境质量评价中的运用，讨论了用层次分析法计算权值。     

多中心视角下的武汉市路网与经济活动空间关系分析

探究道路网络与经济活动的空间关系对城市科学规划有促进作用。采用多中心评价模型测度武汉市路网情况,并结合核密度估计法和地理加权回归法探究武汉市路网多中心和经济活动多中心的空间分布情况及其相关关系。研究表明:武汉市路网和经济活动分布整体呈现出多中心分布形态;武汉市路网多中心与经济活动多中心存在较强的关联性,且其相关程度存在空间异质性,建议考虑要素空间差异进行科学规划。     

基于加权信息量模型的湖南省麻阳县地质灾害危险性评价与区划

以麻阳县1：5万地质灾害详细调查数据为基础，选择地质灾害点密度、地形地貌、岩土体结构类型、地质构造、降雨、植被、人类工程活动、受威胁人数和潜在经济损失等9个因素作为评价指标，采用层次分析法对不同指标的重要性进行排序与赋权.最后基于加权信息量模型进行麻阳县地质灾害危险性评估及分区评价.研究结果表明：麻阳县主要处于地质灾害低-中等危险区，其中低、中危险区面积分别为984.44 km²和414.08 km²，极低危险区和高危险区分别为81.11 km²和86.57 km².     

Delaunay三角网与Voronoi图在划分城市影响空间中的应用研究

探讨了基于Delaunay三角网和加权Voronoi图划分城市影响空间的方法,论证了其合理性和可行性,并对两种方法进行了对比分析,最后以河南省为例进行了实证分析.     

基于加权网格简化的建筑物群渐进式典型化

提出了渐进式简化建筑物群目标的算法，该算法考虑了目标之间的分辨距离和密度，能够渐进式得到任意比例尺的地图，可以从几何和语义两方面最大限度地保持原有建筑物群的特征，同时可保持综合前后不同分区之间的密度差异。     

基于有向窗的自适应SIGMA中值滤波算法

提出了一种能够有效消除InSAR DEM噪声的自适应中值滤波算法:基于有向窗的自适应SIGMA中值滤波。分别采用中值滤波、基于高程的自适应SIGMA中值滤波和基于有向窗的自适应SIGMA中值滤波算法,对InSAR Tandem DEM和模拟DEM进行了滤波处理。结果表明,基于有向窗的自适应SIGMA中值滤波算法不仅能够更有效地消除噪声,而且能够更好地保留图像的边界特征。