基于图像分割的两阶段空间关联规则挖掘算法

关联规则挖掘可以深入发现空间数据间的感兴趣知识。空间数据格式多样、数据量大,现有的算法并不适合。本文以RSI及产量图为数据源,提出了基于图像分割的两阶段空间关联规则挖掘算法,挖掘图像像素颜色值之间的空间关联规则。通过算法分析和实验,该算法是有效、可行的。     

空间数据挖掘的研究与发展

随着空间数据获取手段的快速发展,从大量空间数据中自动、快速、有效地发现知识显得越来越重要。该文简要介绍了空间数据挖掘技术的产生背景和发展现状,对空间数据挖掘的基本理论和主要研究领域进行了概述,总结了空间数据挖掘近年来的研究成果,并对下一步发展做了展望。     

基于归一化相关矩的多分辨率遥感图象融合

多传感器数据融合技术已广泛应用于遥感图象处理方面 .针对遥感多光谱图象空间分辨率较低的问题 ,提出了一种基于归一化相关矩的多分辨率图象融合方法 .该方法首先对图象进行二维小波变换 ,然后根据所得到的高频小波系数的一阶、二阶统计特征来定义图象局部灰度相关矩 ,并以此作为图象融合测度来对遥感图象进行多分辨率特征融合 ,从而得到包含更多信息和有效特征的融合图象 .仿真结果表明 ,融合后的图象在保留多光谱信息和提高空间分辨率上均能获得较好的效果 ,因而可以更好地用于目标识别、分类等遥感图象处理方面     

Software for geologic processing of landsat imagery

The effective delineation of rock boundaries and other geologic features from LANDSAT imagery usually requires the use of scenes that have been processed digitally to optimize information content and presentation. Geological processing programs correct for atmospheric distortions and standardize reflectances to uniform ranges for within and between scene continuity. Enhancement procedures then are applied to increase total image resolution. Once the images have been enhanced suitably, secondary procedures such as ratioing, density slicing, and edge detection can be used to highlight specific image properties. The ideal geological software system for LANDSAT processing is a combination of programs that can be ordered to produce the desired resolution of reflectance zones while retaining the structural and texural information that is vital to accurate interpretation.     

VDM-RS: A visual data mining system for exploring and classifying remotely sensed images

Remotely sensed imagery has become increasingly important in several applications domains, such as environmental monitoring, change detection, fire risk mapping and land use, to name only a few. Several advanced image classification techniques have been developed to analyze such imagery and in particular to improve the accuracy of classifying images in the context of such applications. However, most of the proposed classifiers remain a black box to users, leaving them with little to no means to explore and thus further improve the classification process, in particular for misclassified pixel samples. In this paper, we present the concepts, design and implementation of VDM-RS, a visual data mining system for classifying remotely sensed images and exploring image classification processes. The system provides users with two classes of components. First, visual components are offered that are specific to classifying remotely sensed images and provide traditional interfaces, such as a map view and an error matrix view. Second, the decision tree classifier view provides users with the functionality to trace and explore the classification process of individual pixel samples. This feature allows users to inspect how a sample has been correctly classified using the classifier, but more importantly, it also allows for a detailed exploration of the steps in which a sample has been misclassified. The integration of these features into a coherent, user-friendly system not only helps users in getting more insights into the data, but also to better understand and subsequently improve a classifier for remotely sensed images. We demonstrate the functionality of the system's components and their interaction for classifying imagery using a hyperspectral image dataset.     

一种多特征结合的遥感图像分类方法

遥感图像分类是遥感图像分析和理解的基础,是遥感图像研究中的重要内容之一。为提高分类效果,遥感图像分类中通常需要综合运用多种特征。提出一个新的基于特征级融合的遥感图像分类方法。将多种图像空间特征和光谱特征分别作为分类器的输入,将各分类器的概率输出拼接起来作为中间层特征再进行分类。该方法有效避免了多特征直接拼接存在的尺度问题。在Indian93和Flightline C1两个数据集上的实验结果表明该方法具有一定优势。     

三峡库区岩性空间分布规律挖掘

我国广大南方地区,岩石上部覆盖着较厚的土壤和茂密的植被,因此在南方地区开展的遥感岩性分析研究较少,尚无成熟的方法可循.三峡库区属于南方高植被覆盖区域,岩性分析比较困难.针对三峡库区地形复杂、地质灾害频繁、土壤植被发育的情况分析和挖掘出岩性空间分布的规律;通过将遥感影像与地质图叠加,选择各地层边缘的像素点,分析其中心、正上方、正下方、正左方、正右方、左上方、右上方、左下方、右下方9个方向上的岩性,基于概念格算法和规则提取,挖掘出三峡库区嘉陵江组二段T1j2、嘉陵江组三段T1j3、巴东组一段T2b1、巴东组二段T2 b2、大冶组T1d等地层的岩性邻近规则和空间分布规律.     

基于空间数据仓库的空间数据挖掘研究

分析了空间数据仓库的特点和体系结构，在空间数据仓库的基础上提出了一种空间数据挖掘的模型结构，介绍了一些常用空间数据挖掘算法，并展望了其广阔的应用前景。     

适合遥感影像处理的网格计算环境研究

网格计算是近几年来发展迅速的一种网络资源共享模型,其目的是网络资源的完全共享。网格计算相对于传统的C／S及Web GIS来说,它在网络计算、数据处理、资源共享、任务协同等方面都有了进一步的发展。在适感影像处理与理解应用方面,由于涉及大量的网络计算及网络传输等耗时操作,应用网格计算思想进行适感图像处理就更有实际意义。结合网格计算的网络计算及资源共享的优势,设计并开发适合适感影像处理的网格计算环境及软件,是解决当前适感影像海量数据处理的有效途径之一,同时也是适感图像处理软件的一个发展趋势之一。本文结合实际研究成果,首先给出了基于网格计算思想的适感影像处理的设计流程,并对其具体实现技术进一步进行了讨论。在分析其在图像处理方面应用的基础上,对面向网络的智能化适感图像网格处理系统进行了分析与设计,并给出了其实现的一些关键技术。     

基于Web数据挖掘在远程教育中的应用研究

计算机辅助教学与Web数据挖掘技术的有机结合,使基于网络的现代远程教育成为现代教育发展的新趋势.综述了Web挖掘在远程教育中的主要技术及应用,在网络教育中可以更好地提供服务内容和增强远程教育的竞争力.     

空间数据挖掘技术方法及应用

着重阐述了通用的空间数据挖掘体系结构,空间数据的关联特性,几种主要的空间数据挖掘方法。最后对一实例进行了应用分析。     

A microcomputer data-acquisition system for ground-based reflectance measurements

A microcomputer data logger, using a Synertek SYM-1 microcomputer based on a 6502 series microprocessor, is described for the collection of spectral reflectance data from ground-based radiometers. The system was battery-powered with up to 16 analog input channels, a real-time clock, an alpha-numeric keyboard and a video display. The control program, written in BASIC, allowed for variations of the sampling pattern to suit various experimental designs. Timing, data acquisition, and housekeeping routines which required faster execution speeds were written in Assembly language. Hardware and software are described and a listing of programs is given in the appendix.     

Searching satellite imagery with integrated measures

Due to the advances in imaging and storage technologies, the number and size of images continue to grow at a rapid pace. This problem is particularly acute in the case of remotely sensed imagery. The continuous stream of sensory data from satellites poses major challenges in storage and retrieval of the satellite imagery. In the mean time, the ubiquity of Internet has resulted into an ever-growing population of users searching for various forms of information. In this paper, we describe the search engine SIMR—Satellite Image Matching and Retrieval system. SIMR provides an efficient means to match remotely sensed imagery. It computes spectral and spatial attributes of the images using a hierarchical representation. A unique aspect of our approach is the coupling of second-level spatial autocorrelation with quad tree structure. The efficiency of the web-based SIMR has been evaluated using a database of images with known characteristics: cities, towns, airports, lakes, and mountains. Results show that the integrated signature can be an effective basis for accurately searching databases of satellite based imagery.     

小波在遥感图像分析中的应用综述

介绍了小波变换在影像压缩、多源遥感影像融合、影像去噪、影像边缘检测与纹理信息提取等方面的应用特点与效果。此外,还对近几年来兴起的用于遥感影像分析的一些小波变换算法就算法的有效性进行了分析。在文章的最后,对小波在遥感影像分析中的应用趋势,以及一些尚待解决和进一步研究的问题进行了探讨。     

空间数据库的聚类方法

1 引言近年来,数据库的数量和单个数据库的容量都大大增长了。比如,空间物体数据库包括几十亿个望远镜图像,NASA地球观测系统每小时都会产生50GB的数据。这么大的数据量已经远远超出了人为分析解释的能力范围。数据库中的知识发现(KDD)是识别数据中有价值的、新的、潜在有用的、可理解的模式的一     

The effects of data filtering on neural network learning

This paper describes various experiments involving the pre-processing of training data in order to improve the performance of a neural network classifier. To minimise the effect of noisy training samples we applied k-nearest neighbour filtering to the training data. This effectively detects and eliminates outliers, which would otherwise degrade the learning process of the neural network. For a range of neural network complexities, and for two classification tasks, the filtering operation increased classification accuracy.     

基于PCA和数据融合的遥感图像数字水印算法

提出了一种向遥感图像中嵌入水印以保护其版权的算法。算法将数据融合技术和数字水印技术相结合,首先将全色图像进行小波分解,提取图像分解后的第三级低频边缘特征,利用PCA变换得到边缘特征的第一主分量作为水印信息,将水印与第三级中频进行融合;然后进行小波逆变换得到重构图像;最后采用小波变换和PCA融合法将含有水印的全色图像和多光谱图像相融合。提取水印时使用独立分量分析(ICA)方法。实验表明,该算法可以保护遥感图像的版权和进行真伪认证,且不破坏原始遥感图像的信息和特征,是有效可行的。     

改善TM卫星遥感图像自动识别精度的研究和应用

介绍利用计算机处理TM遥感图像数据产生重庆市江北县典型地区土地利用分类图技术。为克服单个像元由于光谱混杂和其它噪声引起的分类不确定性,对图像数据实施了两次分类处理。首先用最大似然监督分类法对像元点做一次分类,并且在修改训练样本和先验概率,分层处理等方面采取了灵活的对策。继而采用局部领域覆盖法进行二次分类,利用空间信息进一步改善分类精度。在重庆江北县地区所做的实验研究结果表明,上述做法有效地提高了分类精度,是合理的,算法简明实用。     

高性能遥感图像处理与空间信息网格建模

将空间信息网格技术（SIG）应用于遥感图像处理中，就是利用网格计算的特点，来解决遥感图像数据以及处理算法资源的共享、海量遥感图像数据的实时快速处理等问题。文章以此为主线，在分析高性能遥感图像处理问题的基础上，探讨了在网格环境下构造高性能遥感图像处理系统的可行性及相关关键技术的实现，提出了基于开放网格服务体系结构的系统模型，并实现了原型系统。实验表明，SIG用于遥感图像处理是可行的，并取得了一定的成果。     

发展中的遥感卫星与我国遥感卫星数据源的扩展

比较全面地介绍了国际上90年代一些主要资源卫星及其所携传感器的特点,分析了它们在遥感应用方面的潜力,包括印度的IRS系列卫星、加拿大的RADARSAT卫星、日本的ADEOS卫星和以色列的EROS卫星。综合对比了若干遥感卫星数据源的历史继承性、稳定可靠性、空间分辨率、波段分布、全天候性、商业化程度等因素,认为在国家经费有限的情况下,为了使尽量多的部门能充分应用遥感这一先进科学技术,政府应重点支持对LANDSAT、RADARSAT和SPOT(或IRS-1C,ADEOS)卫星的数据接收,以进一步开拓我国遥感事业的新局面。