基于DEM的遥感数据复原方法研究

介绍了一种基于数字高程模型（DEM）的遥感数据复原新方法。此方法将地形因子作为最主要的作用因子，不考虑卫星传感过程中的随机影响。首先，根据基础地理数据，按其等高线层生成DEM； 然后，利用DEM，通过实测样点、DEM和经过纠正的遥感数据的信息融合，进行遥感数据中像元样点的坡度、坡向分析，建立DEM与遥感信息的相关关系模型，以数学统计方法描述地形因子对遥感数据的作用机理； 最后，进行逐像元的遥感信息复原(归一化)。结果表明，该方法具有较好的信息复原效果，可消除或减少地形对遥感数据的影响，增强遥感技术在山区复杂地形下的实用性。     

基于逐次投影寻踪的高光谱影像降维方法研究

提出了一种新的逐次投影寻踪方法,对高光谱数据进行降维处理,采用定量化的指标,通过对高光谱数据的多次一维投影,逐步选取有效成分,构建新的低维正交空间.     

基于遥感地质异常的综合信息矿产预测方法研究

以滇东北地区为例，通过对遥感地质异常的综合信息矿产预测方法进行了研究。在滇东北地区对ETM遥感图像进行岩性及构造的解译、遥感光谱异常提取等手段获得7项遥感地质异常信息因子，在GIS软件中，利用缓冲带（buffer zone）等方法将线性地质异常转化为面状异常，并通过空间分析确定各种遥感异常与已知矿产当量的关系，计算各主因子的二级因子得分，形成成矿预测栅格图像。通过栅格图像各通道间的复合运算分析进行遥感综合异常的定量圈定，最终在工作区圈定了多个不同级别的遥感综合异常。     

基于多时相遥感的硫磺沟地区矿产资源开发及环境变化研究

本文以天山硫磺沟矿区为示范研究区,在资料收集和野外调查分析基础上,利用1975年以来30年监测的遥感数据,提取研究区煤、铁、粘土等矿床开发区的时空分布和生态环境时空变化信息,结合数理统计方法和GIS空间分析技术,对矿区矿产开发与土地利用变化进行综合研究,分析硫磺沟矿区矿产开发引起的环境问题,建立1975年以来矿区开发与环境变化定量评价模型,绘制主要矿产分布、生态环境变化等专题图件,直观展现了矿产开发所引起的生态环境问题;探讨30年来矿产开发对自然和人文环境系统影响的过程和机制,确定不同类别矿产开发引起的环境变化和资源破坏的动态趋势,在此基础上提出相应的管理建议。     

2005年10月8日巴基斯坦7.8级地震热红外异常

收集了2005年巴基斯坦7.8级地震区Noaa17/AVHRR的2004-2005年的热红外遥感资料,并进行地表温度反演,得到了以震中为中心7°×7°范围的地表温度值。经热红外图像解译与构造关系对比分析,表明热红外解译图像与构造分布具有一致性。震源区地表温度时间序列显示:震前大约3个月内震源区存在明显的热红外异常。     

共轭梯度法在图像重建中的应用

图像重建常常被转化为解非线性无约束极值问题,通过范数极小化推导出共轭梯度法的一般算法.通过对模拟数据和实际工件断层扫描数据进行图像重建,估计了算法的有效性,结果表明,与最速下降法相比,此算法更适用于不完全投影数据的图像重建,在保证重建图像拟合度的同时,大大提高了重建速度.     

改良FS-3D-TrueFISP序列与传统序列在软骨成像中的对比研究

目的:总结正常软骨在改良脂肪抑制三维真实稳态自由进动序列上的表现,与传统序列对比研究软骨显像的图像质量,探讨经过改良以后的脂肪抑制三维真实稳态自由进动序列应用于软骨成像的可行性.方法:应用脂肪抑制三维快速小角度激发序列、三维双回波稳态序列、脂肪抑制快速自旋回波质子密度加权序列,以及经过改良以后的两个脂肪抑制三维真实稳态自由进动序列,对10名志愿者的膝关节进行扫描.测量各序列软骨及关节滑液的信号强度及背景噪声,计算各种方法所得图像的关节软骨的信噪比、关节软骨与滑液的对比噪声比及对比噪声比效率,比较各序列所得的信噪比、对比噪声比及对比噪声比效率之间有无统计学差异.结果:在改良的序列上软骨信号强度介于关节液与邻近骨质之间.6例信号均匀,4例软骨信号可见与脂肪抑制三维快速小角度激发序列相似的分层现象,各序列的信噪比、对比噪声比及对比噪声比效率差异具有显著性.采集次数为2次的脂肪抑制三维真实稳态自由进动序列的对比噪声比及对比噪声比效率优于其他序列.结论:经过改良后的真实稳态自由进动序列可以在保持关节软骨一定的信噪比的前提下在短时间内获得与关节滑液之间具有良好对比噪声比的图像.真实稳态自由进动序列可以用于关节软骨病变的诊断.     

Dynamic analysis of eco-environmental changes based on remote sensing and geographic information system: an example in Longdong region of the Chinese Loess Plateau

The Chinese Loess Plateau is suffering from severe soil erosion. The eco-environmental changes of the plateau are believed to have an important influence on global eco-environmental sustainability; hence, this problem has attracted considerable attention from scientists around the world. This study has two purposes; application of remote sensing (RS) and geographic information system (GIS) techniques in the dynamic analysis of eco-environmental changes in the semiarid zone; and using the Longdong region of the Chinese Loess Plateau as an example, to make dynamic analysis of the eco-environmental changes of the region during the 1986–2004 period and identify controlling factors. Landsat Thematic Mapper (TM) data at a spatial resolution of 30 m were used for analysis. Two training areas were selected in Jingning and Qingcheng counties for analysis using 10-m resolution SPOT and Landsat TM data. The satellite RS images were obtained from the Institute of Remote Sensing Application (IRSA), Chinese Academy of Sciences (CAS). Each images was rectified by Albers Equal Area Conic projection based on 1:50,000 scale topographic maps after spectrum preparation of the images. To make the precision within 1 or 2 pixels, the accurate coordinative control points of the two systems were identified. Then the interpretation key was established based on the land use/cover survey in the study area. The images were classified into six primary environmental types (farmland, forest, grassland, water, construction area, and desert) and 25 sub-types using a visual image interactive interpretation method to obtain vector and attribute data. The resultant accuracy of the land use/cover classification reached 95%. Finally, the transformation areas and ratios of various eco-environmental types in the region were calculated to obtain the transition matrixes of eco-environmental types in the two training areas, Jingning and Qingcheng. This study demonstrates that satellite RS and GIS techniques are effective tools to monitor and analyze the eco-environmental changes in the semiarid region. Visual image interactive interpretation based on GIS technique provides comprehensive information on the direction, rate, and location of eco-environmental changes. The transition matrix model can be used to precisely analyze the variation and rates of the eco-environmental types and their spatial distribution. Great land use changes have taken place Longdong during the 1986–2004 period. These eco-environmental changes were driven by natural and human factors. Natural factors influencing the Longdong region of the Chinese Loess Plateau mainly include temperature, water condition, terrain, soil, and erosion; while human activities include over-cultivation, overgrazing, and fuelwood cutting. As viewed from the extent and severity of the influences, human activities play a very important role in altering the eco-environment of the semiarid region. The study results indicate a need for future research and observation in the semiarid region.     

Outgoing long wave radiation variability from IR satellite data prior to major earthquakes

Our analysis of the continuous outgoing long wave earth radiation (OLR) indicates anomalous variations prior to a number of medium to large earthquakes. The most recent analysis of OLR is from the M9.0 Sumatra Andaman Islands mega trust event. We compared the reference fields for December 2001 to 2004 and found OLR anomalous values, > 80 W/m², (2σ) within the epicentral area on Dec 21, 2004, 5 days before the event. We used the NOAA/IR daily (one degree) and monthly (two and half degree) gridded data to differentiate between the global and seasonal variability and the transient local anomalies. The cause of such anomalies is not fully understood; one possible explanation is the existence of thermal outgoing radiation as a result of near ground air ionization and latent heat change due to change of air humidity and temperature. This phenomenon is hypothesized to be part of a relationship between tectonic stresses, electrochemical and thermodynamic processes in the atmosphere and increasing mid IR flux, all part of a family of electromagnetic (EM) phenomena related to earthquake activity. The time scale of the observed variations is a few weeks before the onset of the seismic event. In comparison with several years of data, the observed time-series preceding the earthquake had unusually high OLR. The OLR anomaly corresponds to a large area of ground coverage and coincides with the main epicentral zone. The significance of these observations is explored using data from most recent East Asian earthquake swarm of December 2004 and three other earthquakes.     

Irrigated area determination: a case study in the Province of San Juan,Argentina

Much of the central-western region of Argentina, where San Juan Province is located, experiences arid to semi-arid climatic conditions with low average annual rainfall accompanied by substantial evapotranspiration. Consequently, a viable crop industry depends to a large extent upon irrigation from major river systems. Increasing demand for water in the lower basin of the San Juan River is emphasizing the need for more accurate estimates of water used for irrigation. Since the water demand for a particular crop is very closely related to crop area, monitoring the area of crop under irrigation is considered a proxy for the amount of water used. Landsat 5 imagery for the growing season, field data and aerial photographs were used to evaluate crop area.