利用面向对象分类技术进行地理要素快速更新的方法研究

该文以遥感影像为更新期数据,利用面向对象分类方法,在对象层次进行推理和分析;将更新完成要素作为先验知识,分层更新地理要素;对更新过程中基期地形图专题要素不变信息的利用,主要地理要素提取和更新方法进行了研究。结果表明,该方法兼顾地理要素快速更新的自动化与实用化,具有广阔的应用空间。     

Research on the seismogenic environment for deep earthquake and the cause of earthquakes in Xinjiang and its adjacent areas

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Three-dimensional velocity images in Yunnan and its neighboring district

Using the techniques of seismic tomography three-dimensional velocity images at crust and upper mantle in Yunnan province and its adjacent region have been successfully reconstructed. The results of image are: (1) The image of the velocity in the upper crust is closely related to the well-known geological structure of the surface, the Kangdian earth axis is a distinct high velocity area, and a high velocity rock stratum, which appoaching the surface of the earth, has been formed. (2) There is a low-velocity layer between 26°–31°N and 100°–104°E in deep crust, the depth of Moho discontinuity in Sichuan bass in is less than 50 km. (3) The results of seismological tomography not only reveal the lateral heterogeneity in the researched region, but also find approximately the strike of Honghe fault from the image at bottom of crust, and the velocity in both side of the fault are different obviously. (4) There is a low-velocity column within 25 km to 110 km in Tengchong region, which may be occured by upward moving of the basalt in the mantle. (5) In studied area, the thickness of the crust in west part is thicker than in southeast part. (6) From the image at bottom of the crust we can find that earthquakes with magnitude greater than 5 occurred in big velocity gradient zones, especially in transition zone between high and low velocity. There are a few earthquake in the low-velocity area. (7) We can see from Figure 6 that there still clearly exists lateral heterogeneity at 450 depth. The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,15, 61–67, 1993.     

NOAA AVHRR 1B数据的几何精纠正

文文在对ＮＯＡＡ－ＡＶＨＲＲ像元畸变特点分析和ＩＢ格式中的定位数据质量评价基础上，确定ＩＢ格式中的定位数据。尽管绝对精度很差，但相对精度较好，可以用来进行像元的相对定位，确定像元的大小和形状，在此基础上，提出了ＮＯＡＡ－ＡＶＨＲＲ像元畸变校正方法。校正后的图像经多项式纠正后，多时相复合和与辅助数据相复合的效果很好，误差为半个像元级。     

NOAA/AVHRR影像中红外波段信息提取研究

对多景NOAA/AVHRR影像的研究发现:CH3波段不仅可以提取高温信息,而且还可以提取常温状态下的物类信息,并且在很多情况下优于CH4波段。文章给出了具体分析,并进行了原因探讨。     

Object Extraction Based on Evolutionary Morphological Processing

This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithms. The population of morphological filters is iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring element using the evolution principles of genetic search. Experimental results of road extraction from high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method.     

阿勒泰地区一次暴雪天气过程分析

对阿勒泰地区2003年1月15～20日大范围的暴雪天气过程作了分析，从环流形势、水汽条件、动力条件等方面阐明了形成大范围大降雪的有利条件。并指出高低空急流在本次暴雪过程中的重要作用以及卫星云图对天气系统的识别和监测作用，最后，通过对比分析表明T213，产品对阿勒泰地区大范围大降雪的预报能力较强，有很好的参考价值。     

基于局部光谱空间分析的多尺度边缘检测

分析了传统边缘检测算法在多光谱影像应用中的局限性，提出了一种基于局部区域的光谱空间平均半径测度的边缘检测方法，该方法扩展了原有的单波段影像边缘检测的概念，将像元的灰度信息转化为光谱矢量，提高了检测的可靠性，并给出了多尺度边缘组合的算法。通过MAIS成像光谱仪对鄱阳湖30个波段数据试验，证明了此方法对边缘检测的有效性。     

快速城市化过程中城市土地覆被的时空动态特征

1990—2005年间，是广州市经济快速发展和城市景观变化最大的时期，以同时段TM影像解译得到广州市的土地覆被类型图，从数量结构、空间信息及位置转移和景观等方面，分析了广州市土地覆被的动态特征．数量结构的研究结果显示：在快速城市化过程中广州市的耕地、林地等自然资源的利用程度在加大，自1995年起，这种变化的趋势开始减缓；土地覆被类型之间的信息与位置的转移变化频繁，并且表现出空间位置分异的特征．景观特征指数分析结果表明：广州市城市土地覆被向破碎化方向发展，城市建设用地呈扩展之势．     

纹理特征在多光谱遥感影像分类中的应用

提出了基于灰度共生矩阵的多光谱影像纹理分析的方法,实现了利用k-mean聚类算法对多光谱影像进行分类,比较了各种不同的分类结果。