光谱保真归一化卷积高光谱超分辨率重建方法

高光谱遥感图像受到成像系统硬件限制,无法同时具有高空间分辨率和高光谱分辨率,较低的空间分辨率制约高光谱图像的应用,超分辨率重建技术可提高图像的空间分辨率.针对高光谱图像的超分辨率重建中光谱保真度的问题,在重建方法中耦合光谱保真度函数,结合结构自适应归一化卷积方法,提出基于光谱保真约束的归一化卷积方法.具体地,将图像局部邻域内像素间的光谱相关性作为约束条件,将与中心像素光谱类似的像素赋予较大权值,从而提高重建后图像光谱特性的保持程度.实验中分别从空间结构与光谱信息保真两个方面来评价重建后结果,结果表明该方法具有较好的光谱信息保持度.     

“三北”防护林建设以来河西走廊林地变化的遥感监测

为了对中国\!三北\"防护林工程重点建设区河西走廊的防风固沙林工程建设成效进行客观评估,选取4期Landsat MSS、TM/ETM数据,在GIS技术支持下对1978-2007年期间面状林地的动态进行遥感监测。监测结果表明,整个研究区林地面积呈先下降后上升趋势,表现为1978-1990年林地面积明显减少,1990-2000年林地面积大幅度上升,2000-2007年林地呈缓慢上升状态;在不同空间范围内,山区各县林地变化较为缓和,平原区各县林地变化较为明显。在此基础上,分析不同林地变化特征,得出人为因素是本地区林地变化的主要原因。     

冈底斯带西段那木如岩体始新世岩浆作用及构造意义

冈底斯带西段狮泉河南部那木如岩体岩性变化较大,其中产出大量基性岩透镜体及暗色微细粒包体,空间上与花岗岩类呈渐变过渡接触关系。本文在详细野外调研的基础上,对狮泉河-札达一带那木如花岗岩及其中基性岩石进行了系统的岩石学、地球化学和同位素年代学研究。结果表明,那木如岩体主体岩性为黑云母花岗岩,其SiO₂为65%~76%,全碱含量较高,花岗岩中K₂O+Na₂O=5.50%~8.71%,基性岩石中则4.42%~6.7%。花岗岩类稀土元素最高含量为284.8×10^-6,最低只有105.4×10^-6;而基性岩类最高为120.4×10^-6,最低72.48×10^-6。两者稀土元素分配曲线均呈右倾平缓样式,花岗岩具有不明显Eu负异常,微量元素显示出花岗岩类和基性岩类具有相似的蛛网分布样式。两者均明显富K而亏损Nb、Ti等不活泼的HFS元素,显示出明显的岩浆混合作用趋势。4件花岗岩和基性岩样品所显示的LA-ICP-MS法锆石U-Pb年龄分别为46.11±0.78Ma、45.47±0.4Ma、46.7±2.9Ma和45.4±1.4Ma,变化在45.4~46.7Ma范围内,表明始新世早期(~46Ma)区域发生了岩浆混合作用。这一时限与冈底斯中、东部岩浆作用时代(40~52Ma)非常一致,表明始新世早期整个冈底斯发生了规模巨大的岩浆事件,暗示着印度-欧亚大陆碰撞作用在东西方向上所表现出的同时性。     

The complex nonlinear systems with fractal as well as chaotic dynamics of annual runoff processes in the three headwaters of the Tarim River

This paper attempted to identify fractal and chaotic characteristics of the annual runoff processes in headwaters of the Tarim River. Methods of fractal analyses were used to explore several aspects of the temporal changes from 1957 to 2002. The main findings are as follows: (1) The annual runoff processes of the three headwaters of the Tarim River are complex nonlinear systems with fractal as well as chaotic dynamics. (2) The correlation dimensions of attractor derived from the time series of the annual runoff for the Hotan, Yarkand and Aksu rivers are all greater than 3.0 and non-integral, implying that all three rivers are chaotic dynamical systems that are sensitive to initial conditions, and the dynamic modeling of their annual runoff process requires at least four independent variables. (3) The time series of annual runoff in each river presents a long-term correlation characteristic. The Hurst exponent for the period of 1989 to 2002 suggests that we may expect to see an increasing trend in the annual runoff of the Aksu and Yarkand rivers in the years after 2002, but a decreasing tendency for the Hotan River in the same period.     

New progress of research on water cycle in atmosphere in China

New progresses are introduced briefly about the water cycle study on atmosphere of China made in recent years. The introduction includes eight aspects as follows: 1) precipitation characteristics, 2) stability of climatic system, 3) precipitation sensitive region, 4) regional evaporation and evapotranspiration, 5) water surface evaporation, 6) vegetation transpiration, 7) cloud physics, and 8) vapor source.     

钾肥需求模拟研究

旨在模拟预测中国钾肥需求,为钾肥市场参与者和决策者提供基本的数据和理论支持。运用主成份分析法和多元回归计量经济模型模拟我国钾肥需求。首先,运用主成份分析法对钾肥需求影响因子进行降维处理;其次,采用多元统计非线性回归计量经济学模型模拟钾肥需求。结果表明:(1)钾肥需求与人均耕地、受灾面积、钾肥价格呈负相关关系;(2)钾肥需求与耕地、粮食用地、农产品价格存正相关关系;(3)钾肥需求预测可由较易得的人均耕地、耕地、粮食用地、受灾面积、农产品价格和钾肥价格数据代入模型模拟获得,且模拟数据与现实数据吻合较好;(4)此方法可较广泛运用,不需大量的野外试验和较大的工作量,且无空间跨度差异;(5)政府行为对钾肥需求有着极大的影响作用,政府应发挥其积极性,制定出一套有序的制度安排,以弥补市场本身潜在的问题,引导市场机制不断完善。     

风沙流中风速脉动对输沙量的影响

通过对不同工程措施下风沙流中风速脉动特征与输沙量波动研究发现：不同孔隙度栅栏中各高度层瞬时风速的波动性具有很好的相关性,而且相邻高度之间的相关性非常显著。在不同风速下,典型工程措施中同一高度层输沙量具有相对应的变化特征;瞬时风速的波动性主要与其所在高度层沙粒的运动状态和工程效益有关。     

农村居民国内旅游流空间集中性

旅游流的空间集中性是旅游流研究的热点问题,旅游流空间集中性需要新的审视。本文引入Jansen-Verbeke区域内部流和区域间流界定方法,以2003~2005年中国农村居民国内旅游为案例进行实证分析。结果表明:约70%的旅游流集中于本省内部,旅游流本省内部集中性支撑了"省内旅游"发展战略的认知和实施。"多核非对称旅游系统"已初步形成,其"核心—边缘"特征使得核心区(东部沿海地区)面临巨大的旅游承载压力;在旅游发展加剧区域经济差异的背景下,"边缘旅游"(中、西部地区)如何发展将成为重要课题。     

Village-level multidimensional poverty measurement in China: Where and how

Village is an important implementation unit of national poverty alleviation and development strategies of rural China, and identifying the poverty degree, poverty type and poverty contributing factors of each poverty-stricken village is the precondition and guarantee of taking targeted measures in poverty alleviation strategies of China. To respond it, we construct a village-level multidimensional poverty measuring model, and use indicator contribution degree indices and linear regression method to explore poverty factors, while adopting Least Square Error (LSE) model and spatial econometric analysis model to identify the villages’ poverty types and poverty difference. The case study shows that: (1) Spatially, there is obvious territoriality in the distribution of poverty-stricken villages, and the poverty-stricken villages are concentrated in contiguous poverty-stricken areas. The areas with the highest VPI, in a descending order, are Gansu, Yunnan, Guizhou, Guangxi, Hunan, Qinghai, Sichuan, and Xinjiang. (2) The main factors contributing to the poverty of poverty-stricken villages in rural China include road construction, terrain type, frequency of natural disasters, per capita net income, labor force ratio, and cultural quality of labor force. The main causes of poverty include underdeveloped road construction conditions, frequent natural disasters, low level of income, and labor conditions. (3) Chinese poverty-stricken villages include six main subtypes, and most poverty-stricken villages are affected by multiple poverty-forming factors, reflected by a relatively high proportion of the three-factor dominant type, four-factor coordinative type, and five-factor combinative type. (4) There exist significant poverty differences in terms of geographical location and policy support, and the governments still need to carry out targeted poverty alleviation measures according to local conditions. The research can not only draw a macro overall poverty-reduction outline of impoverished villages in China, but also depict the specific poverty characteristics of each village, helping the government departments of poverty alleviation at all levels to mobilize all kinds of anti-poverty resources.     

结构增强型生成对抗网络SAR图像超分辨率重建

针对利用生成对抗网络模型(Generative Adversarial Network,GAN)重建SAR(Synthetic Aperture Radar)图像存在边缘细节信息不足和“伪影”(artifacts)现象,该文基于增强型超分辨率生成对抗网络(Enhanced Super-Resolution Generative Adversarial Networks,ESRGAN)光学模型,重新设计生成网络上采样重建模块和结构损失函数,提出一种结构增强型生成对抗网络SAR图像超分辨率重建算法,包括特征提取、特征增强和上采样重建3个模块:在特征提取模块采用小尺度卷积层对输入SAR图像进行低层次特征提取;在特征增强模块采用多个级联残差密集块(Residual-in-Residual Dense Block,RRDB)和卷积层提取输入特征;在上采样重建模块交替使用最近邻插值(Nearest Neighbor Interpolation,NNI)和亚像素卷积(Sub-Pixel Convolution,SPC)对特征进行放大重建,使特征信息交互融合。与传统插值算法和经典深度学习重建算法相比,该算法在视觉效果和定量评价方面均有显著提升,能够在保持原网络模型重建图像内容信息不丢失的基础上,增强重建图像边缘细节信息和减缓“伪影”现象,有利于后续目标识别和灾害监测等工作开展。