闽江口湿地遥感影像最佳景观观察尺度的选择

应用遥感和地理信息系统技术,对景观最佳观察尺度选择的方法进行了探讨;构建了“定量化景观指数粒度敏感区间,定性化尺度大小,定性与定量相结合决定最佳观察尺度值“的最佳景观观察尺度选择模式,并以ASTER遥感影像为数据源,应用该模式对闽江口湿地景观最佳观察尺度进行了研究,指出闽江口湿地的景观观察尺度应以50m和100m为主,最大尺度不应超过200m.     

Time derivative equations for mode I fatigue crack growth in metals

Predicting fatigue crack growth in metals remains a difficult task since the available models based on the Paris law are cycle-derivative equations (da/dN), while service loads are often far from being cyclic. This imposes a cycle-reconstruction of the load sequence, which significantly modifies the load history in the signal. The main objective of this paper is therefore to propose a set of time-derivative equations for fatigue crack growth in order to avoid any cycle reconstruction. The model is based on the thermodynamics of dissipative processes. Its main originality lies in the introduction of a supplementary state variable for the crack, which allows describing continuously the state of the crack throughout any complex load sequence. The state of the crack is considered to be fully characterized at the global scale by its length a, its plastic blunting ρ, and its elastic opening. In the equations, special attention is paid to the elastic energy stored inside the crack tip plastic zone, since, in practice, residual stresses at the crack tip are known to considerably influence fatigue crack growth. The model consists finally in two laws: a crack propagation law, which is a relationship between dρ/dt and da/dt and which observes the inequality stemming from the inequality of Clausius Duhem, and an elastic–plastic constitutive behaviour for the cracked structure, which provides dρ/dt versus load and which stems from the energy balance equation. The model was implemented and tested. It successfully reproduces the main features of fatigue crack growth as reported in the literature, such as the Paris law, the stress ratio effect, and the overload retardation effect.     

用NaI(Tl)探测器测量γ辐射场剂量特性的加权积分法研究

辐射场剂量特性的测量可以通过剂量率仪或谱 剂量转换的方法来实现。其中一种谱 剂量转换的方法是通过一个G(E)函数 ,把测得的结果直接换算成剂量而不需解谱。本文采用这种方法 ,对一个75mm× 75mm的NaI(Tl)探测器的能谱特性进行测量与分析 ,算出了该晶体的G(E)函数值及估计的误差 ,并用此方法与高气压电离室作了比对测量     

遥测遥控技术及其在钢铁工业中的应用

对我国工业遥测、遥控技术及其在钢铁工业中的应用现状进行了述评。二遥技术作为信息技术的一个分支,在信息时代必将有一个大的发展,本文针对我国的现状指出了其发展方向。     

从TM影像中提取城镇建筑覆盖区专题信息的改进方法

选用TM影像作为城镇建筑覆盖区专题信息提取的数据源，在Bayes的最大似然法半自动提取城镇专题信息和建筑指数法自动提取城镇专题信息分类方法的基础上，通过二值逻辑演算，综合两种方法的分类结果，去掉不属于城镇的信息，得到真正的城镇建筑覆盖区专题信息。实验结果表明，改进后的分类方法，兼有自动与半自动的优点，其分类精度大大提高。特别是对于短期变化(如防洪区)较大、面积较大而复杂的研究区来说，这一方法的应用弥补了单一分类方法的不足。     

Optimal classification methods for mapping agricultural tillage practices

The classification of agricultural tillage systems has proven challenging in the past using traditional classification methods due to the similarity of spectral reflectance signatures of soils and senescent crop residues. In this study, five classification methods were examined to determine the most suitable classification algorithm for the identification of no-till (NT) and traditional tillage (TT) cropping methods: minimum distance (MD), Mahalanobis distance, Maximum Likelihood (ML), spectral angle mapping (SAM), and the cosine of the angle concept (CAC). A Landsat ETM+ image acquired over southern Michigan and northern Indiana was used to test these classification methods. Each classification method was validated with 293 ground truth sampling locations collected commensurate with the satellite overpass. Classification accuracy was then assessed using error matrix analysis, Kappa statistics, and tests for statistical significance. The results indicate that of the classification routines examined, the two spectral angle methods were superior to the others. The cosine of the angle concept algorithm outperformed all the other classification routines for tillage practice identification and mapping, yielding an overall accuracy of 97.2% (Kappa=0.959).     

基于3S不可移动文物管理系统的实现

提出对文物保护单位传统管理方式进行革新,将数据库技术、计算机网络技术、3S技术(地理信息系 统、遥感和全球定位系统)融为一体,基于GIS平台建立统一的内蒙古自治区不可移动文物信息管理系统,实现了自 治区文物数据完全共享的信息化管理和网络展示模式,为政府机关、文物机构的管理保护工作提供科学依据和决策 支持。     

基于改进2DCNN的高光谱遥感图像处理研究

针对传统遥感图像处理中的时间成本和人工成本高、效率低等问题,以提高遥感高光谱图像分类中的处理速度、精度,降低参数量为目标,提出改进的2DCNN模型En-De-2CP-2DCNN.首先,使用1DCNN、2DCNN与3DCNN在Pavia University HSI数据集上分别进行分类实验,对比分析各自优缺点.其次,在保持较快的处理速度和不增加模型参数量的前提下,选择2DCNN为基础模型,参考SegNet的Encoder-Decoder结构,融入双卷积池化思想进行基础模型改进,同时优化学习策略.结果表明:En-De-2CP-2DCNN模型F1为99.96％,达到3DCNN的同等水平(99.36％),较改进前(97.28％)提高2.68个百分点;处理速度(5 s／epoch)和1DCNN位于同一量级,快于3DCNN(96 s／epoch);参数量(2.01 MB)较改进前降低了1.54 MB,虽高于3DCNN(316 KB),但远低于1DCNN(19.21 MB).En-De-2CP-2DCNN模型在处理速度和参数量方面的改进,有利于进一步实现移动端的轻量化部署.