基于数据缓存的影像数据库的设计与实现

针对影像数据库中数据获取效率低,对系统配置、网络带宽要求高等问题,提出了基于数据缓存的影像数据库管理方式。从体系结构、数据库存储结构以及数据缓存结构3个方面对该方案进行详细说明。实践证明,该方案能够有效地管理海量影像数据,在不影响影像数据共享的前提下,减少了用户与服务器的交互次数,降低了对网络带宽、计算机性能的要求,提高了数据获取的效率。     

高分辨率卫星遥感数据在土地利用动态监测中的应用研究

选择土地利用变化类型较多的北京市大兴区为试验区,通过分析印度IRS、韩国KOMPSAT-1、美国IKONOS等高分辨率卫星数据的获取途径、覆盖周期、卫星运行状况、监测成本估算、技术条件和设备要求,对其在土地利用动态监测中的可行性进行了研究;测算了高分辨率卫星数据的主要技术参数;分析原始图像上各主要土地类型的灰度分布范围及其直方图特征,总结不同土地利用覆盖类型与融合图像变化信息的光谱特征。通过精度测算,确定了最大成图比例尺。比较利用高分辩率卫星IRS、KOMPSAT-1和SPOT与陆地卫星TM多光谱数据组合的土地利用动态监测结果(识别率、判对率、图斑边界吻合精度、可监测的最小图斑面积等),确定了不同高分辨率卫星数据与TM多光谱卫星数据组合后对土地利用类型的识别能力,建立了土地利用动态监测解译标志。在解决了若干关键技术问题的基础上,形成了一套可推广的、实用的技术方法和工作流程.     

Shallow Seismic Velocity Structure of the Betic Cordillera (Southern Spain) from Modelling of Rayleigh Wave Dispersion

A detailed dispersion analysis of Rayleigh waves generated by local earthquakes and occasionally by blasts that occurred in southern Spain, was undertaken to obtain the shear-wave velocity structure of the region at shallow depth. Our database includes seismograms generated by 35 seismic events that were recorded by 15 single-component short-period stations from 1990 to 1995. All these events have focal depths less than 10 km and body-wave magnitudes between 3.0 and 4.0, and they were all recorded at distances between 40 and 300 km from the epicentre. We analysed a total of 90 source-station Rayleigh-wave paths. The collected data were processed by standard digital filtering techniques to obtain Rayleigh-wave group-velocity dispersion measurements. The path-averaged group velocities vary from 1.12 to 2.25 km/s within the 1.0-6.0 s period interval. Then, using a stochastic inversion approach we obtained 1-D shear-wave velocity–depth models across the study area, which were resolved to a depth of circa 5 km. The inverted shear-wave velocities range approximately between 1.0 and 3.8 km/s with a standard deviation range of 0.05–0.16 km/s, and show significant variations from region to region. These results were combined to produce 3-D images via volumetric modelling and data visualization. We present images that show different shear velocity patterns for the Betic Cordillera. Looking at the velocity distribution at various depths and at vertical sections, we discuss of the study area in terms of subsurface structure and S-wave velocity distribution (low velocity channels, basement depth, etc.) at very shallow depths (0–5 km). Our results characterize the region sufficiently and lead to a correlation of shear-wave velocity with the different geological units features.     

REGRESSION ON MULTIVARIATE IMAGES:PRINCIPAL COMPONENT REGRESSION FOR MODELING,PREDICTION AND VISUAL DIAGNOSTIC TOOLS

Regression between two blocks(usually called‘dependent’or Y and‘independent’or X)of data is a veryimportant scientific and data-analytical tool.Regression on multivariate images is possible and constitutesa meaningful addition to existing univariate and multivariate techniques of image analysis.The regressioncan be used as a modeling tool or for prediction.The form of the regression equation chosen is dependentupon problem specification and information at hand.This paper describes the use of principal componentregression(PCR).Both model building and prediction are presented for continuous Y-variables.The finalgoal is to supply new image material that can be used for visual inspection on a screen.Also,visual toolsfor diagnosis of model and prediction are provided,often based on derived image material.Examplesof modeling and prediction are given for six channels in a seven-channel satellite image     

有理函数模型的解算与应用

有理函数模型是各种传感器几何模型更广义和更完善的一种表达形式，它适用于各种不同的传感器。许多卫星影像供应商考虑使用这种模型作为影像数据的传递标准。文中在分析RFM的基础上，结合航空影像和SPOT影像数据对RFM进行了研究。试验结果表明有理函数模型可以达到严格成像模型的精度，并且有能力替代严格成像模型完成摄影测量处理，同时无物理意义的有理函数系数可有效地实现传感器成像参数的隐藏。     

DATA PROCESSING TECHNOLOGY OF AIRBORNE 3D IMAGE

1　ＩｎｔｒｏｄｕｃｔｉｏｎＲｅｍｏｔｅｓｅｎｓｉｎｇｈａｓｂｅｅｎａｐｐｌｉｅｄｉｎｍａｎｙｆｉｅｌｄｓｉｎｔｈｅｐａｓｔｄｅｃａｄｅｓ ,ｂｕｔｔｈｅｍｏｄｅｔｏａｃｑｕｉｒｅａｎｄｐｒｏ ｃｅｓｓｔｈｅｒｅｍｏｔｅｓｅｎｓｉｎｇｄａｔａｄｏｅｓｎｏｔｃｈａｎｇｅｒａｄｉ ｃａｌｌｙ .Ｔｈｅｒｅｍｏｔｅｓｅｎｓｉｎｇｉｍａｇｅｍｕｓｔｂｅｇｅｏ＿ｒｅｆｅｒ ｅｎｃｅｄｔｈｒｏｕｇｈｏｎｇｒｏｕｎｄｃｏｎｔｒｏｌｐｏｉｎｔｓ (ＧＣＰｓ) ,ａｎｄｓｔｅｒｅｏｍａｔｃｈｉｎｇｍｕｓｔｂｅａｐｐｌｉｅｄｉ…     

AUTO-IDENTIFICATION OF FOREST FIRE-POINTS IN NOAA IMAGES BASED ON NEURAL NETWORK

1　ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅｉｄｅｎｔｉｆｉｃａｔｉｏｎｏｆｆｏｒｅｓｔｆｉｒｅ＿ｐｏｉｎｔｓｉｎＮＯＡＡｉｍａｇｅｓｉｓｔｈｅｂａｓｉｓｏｆｍｏｎｉｔｏｒｉｎｇｆｏｒｅｓｔｆｉｒｅｕｓｉｎｇＮＯＡＡｓａｔｅｌｌｉｔｅｄａｔａ .Ｔｈｅｔｒａｄｉｔｉｏｎａｌａｐｐｒｏａｃｈｏｆｉ ｄｅｎｔｉｆｉｃａｔｉｏｎｉｓｖｉｓｕａｌｉｎｔｅｒｐｒｅｔａｔｉｏｎ .Ｂｙｔｈｅｖｉｓｕａｌｉｎｔｅｒｐｒｅｔａｔｉｏｎ ,ｂｅｔｔｅｒｐｒｅｃｉｓｉｏｎｉｓｏｂｔａｉｎｅｄｉｎｐｒａｃ ｔｉｃｅ,ｂｕｔｅｘｐｅｒｉｅ…     

龙川江盆地电阻率特征初步研究与应用

本文介绍了应用EH4电阻率成像系统研究龙川江盆地基底以及玄武岩盖层特征的成果，根据对实测资料的解释，划分出盆地不同部位基底，玄武岩，沉积岩系的分布。在圈定电性差异明显的地质体时，该物探方法十分有效。     

NOAA卫星资料云雪识别方法的研究

通过分析NOAA／AVHRR资料中云和雪的光谱特征，在已有的研究成果基础上做了大量的试验分析。针对青海省南部(以下简称青南)的云、雪特征，提出了新的云、雪判别因子，对于区分青南地区的云、雪有较好的效果。     

碧溪岭岩体中石榴橄榄岩的锆石显微结构及离子探针定年

对碧溪岭岩体中石榴橄榄岩的锆石进行了BSE和CL显微结构分析，并在此基础上用离子探针进行了锆石微区U－Pb定年。锆石CL图像显示其有明显的核边结构，核部具岩浆锆石，边部是变质增生锆石的特征。结合锆石的外形特征认为，边部的变质锆石是在超高压变质作用中重结晶形成的。离子探针分析结果在一致曲线图中构成不一致线，得到上下交点 年龄分别为824±39Ma和254±38Ma。结合CL图像认为上交点824±39Ma的年龄代表其原岩形成年龄，下交点254±38Ma为基超高压变质作用的年龄。另有少量较年龄的捕虏晶锆石，可能来自岩浆上升过程中同化混染的围岩。