遥感技术在珠江三角洲基塘用地变迁调查中的应用——以顺德、南海基塘区为例

本文选用两个不同时相的TM卫片(1984年、1994年)作为调查基础资料,结合地形图和局部地区大比例尺黑白航片,通过解译量测,对珠江三角洲顺德、南海基塘区十一个镇的基塘用地变迁情况进行了调查。并利用TM4波段图像对基、塘信息进行了分离,同时估算了基、塘面积比。这次工作是利用TM图像对珠江三角洲地区这一特有的土地利用类型进行调查所作的一次有益的尝试,并取得了较好的效果。     

Theory of satellite ground-track crossovers

The fundamental geometry of satellite ground tracks and their crossover problem are investigated. For idealized nominal ground tracks, the geometry is governed by a few constant parameters whose variations lead to qualitative changes in the crossover solutions. On the basis that the theory to locate crossovers has not been studied in sufficient detail, such changes are described in regard to the number of crossover solutions in conjunction with their bifurcations. Employing the spinor algebra as a tool for establishing the ground-track crossing condition, numerical methodologies to locate crossovers appearing in general dual-satellite ground-track configurations are also presented. The methodologies are applied to precisely determined orbital ephemerides of the GEOSAT, ERS-1, and TOPEX/POSEIDON altimeter satellites. Received: 19 November 1996 / Accepted: 12 May 1997     

环形构造及其地震预报意义

根据遥感图象的解译结果，介绍了环形构造的基本特征及其对中强地震的控震作用，指出了环形构造的地震构造模式和环形构造对分析地震构造环境和地震预报具有一定的意义。     

水灾遥感实时监测与快速评估的实践与思考

总结了参加１９９１￣１９９５年间３次水灾遥感监测与评估科学实验所取得的结果，并结合国情分析，提出进一步发挥航天遥感作用，航天与航空相结合，建立一个花费较少，切实可行，能满足水灾实时监测与快速评估需要的设想。     

Features of the M7.9 Earthquake in the Russia- Mongolia- China Boundary Region

At 19:33 p. m on September 27, 2003, an earthquake with M7.9 occurred in the RussiaMongolia-China boundary Region. It was strongly felt in the Altay region of Xinjiang. The losses caused by the earthquake was 76 million yuan (RMB). Some information about the earthquake was outlined, including basic parameters, focal mechanism, evaluation of earthquake disaster losses and so on. The satellite remote sensing information worked initial analysis for deformation of ground and failure phenomenon.     

Spatially weighted supervised classification for remote sensing

A simple approach for incorporating a spatial weighting into a supervised classifier for remote sensing applications is presented. The classifier modifies the feature-space distance-based metric with a spatial weighting. This is facilitated by the use of a non-parametric (k-nearest neighbour, k-NN) classifier in which the spatial location of each pixel in the training data set is known and available for analysis. A remotely sensed image was simulated using a combined Boolean and geostatistical unconditional simulation approach. This simulated image comprised four wavebands and represented three classes: Managed Grassland, Woodland and Rough Grassland. This image was then used to evaluate the spatially weighted classifier. The latter resulted in modest increase in the accuracy of classification over the original k-NN approach. Two spatial distance metrics were evaluated: the non-centred covariance and a simple inverse distance weighting. The inverse distance weighting resulted in the greatest increase in accuracy in this case.     

基于PRS的遥感图像地物信息提取模型

点源理论(PRS)是一种面向应用需求的集中信息处理方式。不同尺度、不同分辨率的点都是一定的综合信息场,是客观世界的真实反映。本文在数字图像处理过程中引入点源理论,探讨针对地物空间信息应用服务的遥感信息分析和处理模型,讨论基于点源的图像构造、知识构造及地物模型建造过程,给出基于点源的遥感图像地物提取流程。     

概率神经网络与BP网络模型在遥感图像分类中的对比研究

通过分析概率神经网络(以下称PNN)的基本结构及其训练算法,建立了卫星图像分类的概率神经网络模型,并通过实例对比分析了概率神经网络与BP网络分类模型的分类效果。实验表明,PNN图像分类方法在分类精度上优于误差反向传播神经网络模型,且分类时间相当,是一种有效的图像分类方法。     

利用SPOT和ETM+影像进行县级土地利用调查--以河北省万全县为例

本文以SPOT和ETM 影像作为主要信息源，经过对图像进行几何纠正、配准、增强和融合等一系列处理后，在ARCVIEW GIS基础上，成功完成了对河北省万全县土地资源利用情况的调查分析。同时还对应用遥感技术成功获取土地资源利用信息的方法和技术进行了探讨。     

The gravity field and GGOS

The gravity field of the earth is a natural element of the Global Geodetic Observing System (GGOS). Gravity field quantities are like spatial geodetic observations of potential very high accuracy, with measurements, currently at part-per-billion (ppb) accuracy, but gravity field quantities are also unique as they can be globally represented by harmonic functions (long-wavelength geopotential model primarily from satellite gravity field missions), or based on point sampling (airborne and in situ absolute and superconducting gravimetry). From a GGOS global perspective, one of the main challenges is to ensure the consistency of the global and regional geopotential and geoid models, and the temporal changes of the gravity field at large spatial scales. The International Gravity Field Service, an umbrella “level-2” IAG service (incorporating the International Gravity Bureau, International Geoid Service, International Center for Earth Tides, International Center for Global Earth models, and other future new services for, e.g., digital terrain models), would be a natural key element contributing to GGOS. Major parts of the work of the services would, however, remain complementary to the GGOS contributions, which focus on the long-wavelength components of the geopotential and its temporal variations, the consistent procedures for regional data processing in a unified vertical datum and Terrestrial Reference Frame, and the ensuring validations of long-wavelength gravity field data products.