改进的边缘角度直方图在遥感图像检索中的应用

针对基于形状的遥感图像检索中区域分割困难这个问题,本文提出利用边缘角度直方图作为形状特征对遥感图像进行检索;针对遥感影像分辨率和颜色反差对检索性能的影响,本文提出采用多尺度分析的思想,提取图像在多个尺度上的边缘角度直方图特征进行检索。通过单一尺度边缘角度直方图特征和多尺度边缘角度直方图特征检索的对比实验,揭示了本文所提出的改进方案使遥感图像的检索精度提高了约31个百分点。     

Design of content-based retrieval system in remote sensing image database

IntroductionContent-based i mage retrieval ( CBIR)[1 ,2]technology was proposedin 1990s andit is a i m-age retrieval technology using i mage vision con-tents such as color ,texture ,shape ,spatial rela-tionship ,not usingi mage notationto searchi ma-ges .…     

An improved SVM model for relevance feedback in remote sensing image retrieval

With the rapid development of satellite remote sensing technology and an ever-increasing number of Earth observation satellites being launched, the global volume of remotely sensed imagery has been growing exponentially. Processing the variety of remotely sensed data has increasingly been complex and difficult. It is also hard to efficiently and intelligently retrieve what users need from a massive database of images. This paper introduces an improved support vector machine (SVM) model, which optimizes the model parameters and selects the feature subset based on the particle swarm optimization (PSO) method and genetic algorithm (GA) for remote sensing image retrieval. The results from an image retrieval experiment show that our method outperforms traditional methods such as GRID, PSO, and GA in terms of consistency and stability.     

基于内容的虚拟地理场景检索与智能导航技术探讨

该文提出和探讨了基于内容的虚拟地理场景检索与智能导航研究框架。该框架包括三维地理数据获取与模型创建,三维地理对象的识别与定位,三维地理场景的内容分析、检索与认知,基于内容的虚拟地理数据层次式描述与分类索引,地理场景智能导航以及基于内容的自适应虚拟地理数据网络传输等方面的研究方法和内容,有助于建立一种符合人类认知特点的人地关系和人地交互模型。最后,总结和分析了该技术在虚拟地理环境(VGE)研究中的地位和作用。     

两个距离特征相结合的3D模型检索技术

基于内容的3D模型检索是多媒体信息检索的热点研究问题之一。针对单个距离特征在描述三维模型形状上存在的不足，提出了两个不同的距离特征相结合的3D模型检索技术。实验表明，检索技术具有较好的检索效果，且明显优于采用单个距离特征的检索技术。     

Content-Based Language Instruction: A New Window of Opportunity in Geography Education

Abstract

The use of content-based language instruction (CBI) offers an innovative and effective method for teaching core geographic concepts and skills while students study a second language. This article focuses on a collaborative initiative developed and tested by university and high school level geography and second-language educators. The goal of the MOSAIC project is to develop and disseminate rigorous instructional modules using CBI to reach students in language classrooms who may or may not ever enroll in a stand-alone geography course.     

一种有效的基于灰度共生矩阵的图像检索方法

提出了一种基于广义图像灰度共生矩阵的图像检索方法。该方法首先将原图像作平滑处理得到平滑图像，然后将原图像和平滑图像组合得到广义图像灰度共生矩阵，提取该矩阵的统计特征量，最后将该统计量组成归一化向量用以检索。实验结果表明，本方法的效果要优于单纯的灰度共生矩阵法。     

Design of content-based retrieval system in remote sensing image database

To retrieve the object region efficaciously from massive remote sensing image database, a model for content-based retrieval of remote sensing image is given according to the characters of remote sensing image application firstly, and then the algorithm adopted for feature extraction and multidimensional indexing, and relevance feedback by this model are analyzed in detail. Finally, the contents intending to be researched about this model are proposed.     

遥感影像数据库基于内容检索系统的构建

根据遥感影像应用特点,提出了一种遥感影像数据库基于内容检索的模型,重点分析和讨论了该模型中采用的特征提取算法、多维索引和相关反馈技术,最后提出了需要进一步研究的内容。     

Study on retrieve specified objects in massive remote sensing data

In this paper, we show that to retrieve specified objects in massive remote sensing data set is very important in both practice and theory. An algorithm-based content retrieval in the massive data set is studied. To avoid the loss of information, the algorithm based on the Support Vector Machine classification is proposed. Also, the experiment on the real data set is made.