基于Mallat算法遥感图像去云雾处理的改进方法

遥感图像云雾处于相对低频、景物处于相对高频。根据小波变换多分辨率的特点,分析云雾和景物在小波系数中的分布,得出景物信息包含于低层细节系数,而云雾信息包含于高层细节系数和近似系数。本文通过增大图像的低层细节系数,减小高层细节系数,并适当减小近似系数,达到去除云雾的目的。最后评价了图像处理结果,并与同态滤波做比较,表明本文方法是有效的。     

考虑内定向误差的外方位元素精度分析

在对数据质量的要求越来越严格的今天,我们对数据质量的评价也必须越来越系统、可靠。本文就是在系统分析的基础上推导出了求解外方位元素的误差传递模型,并从中分析了内定向误差对外方位元素精度的影响,从而改进和完善了外方位元素精度的评定方法,使得外方位元素精度的评定具有更高的精确性和可靠性。     

绿地信息提取研究

城市绿地作为城市结构中的主要元素,在城市中起着一个重要的作用。本文基于TM遥感影像,对大连市城市绿地专题信息进行提取,并对绿地格局进行研究和探讨。通过计算各组成分分量和归一化植被指数ND-VI之间的相关系数来进行波段组合,提高了遥感影像的分类精度。结果显示该方法可以准确地得到绿地信息。     

动态灰色模型在变形预测中的应用

本文在引入序列算子成功构造灰色序列的基础上,详细讨论了灰色预测模型的基本内容和两种动态灰色预测模型的实现,并成功将其应用于广州地铁变形监测的数据预报。实践及理论证明,新陈代谢灰色预测模型由于实时加入系统的最新信息,提高灰区间的白度,预测精度最高;灰数递补模型通过引入灰数,一定程度上也提高了预测的精度。新陈代谢灰色预测模型实践证明预测精度可达到一级。     

SAS/ETS在变形监测数据处理中的应用

在综合考虑数学模型的预测精度与编程实现的可操作性基础上,提出了利用模块对变形监测数据进行时间序列分析,并概括介绍了该模块的3个主要命令使用方法,解决了时间序列分析在监测数据处理中实现起来非常繁琐的问题。最后通过与环境下动态灰色模型综合比较,证明了时间序列分析在变形监测数据处理中操作简单,模拟精度和预测精度都较高。     

Preparation of volume table of SAL (Shorea robusta) - an approach using satellite data

Sal (Shorea robusta) is an important forest tree species in north and north-eastern India. Large-scale plantations of this species have been raised there under taungya and coppice system of management. The conventional volume table prepared for high sal forest is referred to infer the volume of production of this species. Earlier workers have used aerial remote sensing data to develop volume tables of this species. In the present study a volume table for sal is developed based on remotely sensed satellite data using a regression technique. A two-step method was developed to estimate mean tree volume from satellite data. In step 1, mean crown diameter — an intermediate variable - was estimated from satellite data. In step 2, the estimated mean crown diameter was used to estimate the mean tree volume. Addition of age of the crop as an independent variable improved the predictive ability of the regression equation.     

农作物后向散射特性的测量

利用多波段极化散射计对中原地区常见的几种农作物（水稻、棉花、玉米、花生）的后向散射特性进行了测量,并从散射系数的测量结果得出了其在不同频率及不同地物参数下的散射特点     

Re-parameterization of a quasi-analytical algorithm for colored dissolved organic matter dominant inland waters

Quasi-Analytical Algorithms (QAAs) are based on radiative transfer equations and have been used to derive inherent optical properties (IOPs) from the above surface remote sensing reflectance (R_rs) in aquatic systems in which phytoplankton is the dominant optically active constituents (OACs). However, Colored Dissolved Organic Matter (CDOM) and Non Algal Particles (NAP) can also be dominant OACs in water bodies and till now a QAA has not been parametrized for these aquatic systems. In this study, we compared the performance of three widely used QAAs in two CDOM dominated aquatic systems which were unsuccessful in retrieving the spectral shape of IOPS and produced minimum errors of 350% for the total absorption coefficient (a), 39% for colored dissolved matter absorption coefficient (a_CDM) and 7566.33% for phytoplankton absorption coefficient (a_phy). We re-parameterized a QAA for CDOM dominated (hereafter QAA_CDOM) waters which was able to not only achieve the spectral shape of the OACs absorption coefficients but also brought the error magnitude to a reasonable level. The average errors found for the 400–750 nm range were 30.71 and 14.51 for a, 14.89 and 8.95 for a_CDM and 25.90 and 29.76 for a_phy in Funil and Itumbiara Reservoirs, Brazil respectively. Although QAA_CDOM showed significant promise for retrieving IOPs in CDOM dominated waters, results indicated further tuning is needed in the estimation of a(λ) and a_phy(λ). Successful retrieval of the absorption coefficients by QAA_CDOM would be very useful in monitoring the spatio-temporal variability of IOPS in CDOM dominated waters.     

浏阳河流域生态补偿标准额度动态估算

生态补偿标准是生态补偿研究发展的关键问题,特别是以定量的方式量化补偿金额.以浏阳河流域为研究区,提出了基于单位面积价值当量因子的生态服务功能价值评估法.该方法利用GIS技术对研究区生态服务功能价值进行动态评估,并将皮尔生长曲线模型和表征社会经济发展水平的恩格尔系数相结合计算生态补偿系数,最终构建得到单位面积生态补偿标准...