基于3S技术的库尔勒市香梨种植信息调查及系统开发.pdf

广西师范学院硕士论文 II 基于 3S 技术的库尔勒市香梨种植信息调查及系统开发 I 摘 要 香梨是库尔勒市最重要的林 果 支柱产业之一 为了及时掌握香梨种植生产情况，提高生产管理决策能力，适应现代化信息管理的需要，根据库尔勒市市委市政府的要求，利用“ 3S”技术开展库尔勒市香梨调查与信息管理建设工作 本文 以库尔勒市行政区为研究区，采用国产最新的 “资源三号”（ ZY-3）卫星遥感影像为基础 信息源 ，结合 GPS野外调查数据及 Google Earth， 开展新疆库尔勒市香梨遥感调查研究和信息系统建设论文主要研究结果如下： （ 1） 通过收集研究区的 “资源三号”（ ZY-3） 卫星 遥感影像数据，采用专业图像处理系统，对影像数据进行几何精校正、波段配准、镶嵌、 RGB 假彩色合成等预处理，形成用于香梨遥感解译的基础数据影像 （ 2） 分析 了 研究区影像 数据 的各地物光谱 及 纹理 特征 ，构建 了 基于光谱特征 和 光谱特征结合纹理特征两种对库尔勒市香梨种植信息提取的决策树提取模型 利用 “资源三号”（ ZY-3） 卫星影像中选取 具有代表性 的 部分 影像作为试验区， 分别以 两个模型对试验区的香梨种植信息提取， 并 分析提取效果，选取两者 中 提取 效果 较优者作为提取模型 ,对库尔勒市香梨种植空间分布信息进行提取 ，获取库尔勒市香梨种植面积及空间分布信息(本文使用的初步调查成果 )。

（ 3） 通过精度验证， 发现香梨 提取的 总体精度 达 93.31%， Kappa 系数为 0.86，香梨制图精度为 93.62%，漏分误差为 6.38%，香梨的树龄识别精度为 86.36%， Kappa系数为0.79 （ 4） 在卫星遥感调查库尔勒市香梨种植信息的 基础 上 ，采用关系型数据库 SQL Server2005， 结合空间数据库引擎 ArcSDE 构建库尔勒市香梨种植信息数据库，以 C#为开发语言、 .NET 为开发环境、 ArcGIS Server 为开发平台，开发了香梨种植信息管理系统，实现了香梨地图浏览、查询、数据维护、香梨种植 信息 统计以及专题图制作等功能，为相关部门或决策者提供实时、可靠、科学的决策支持， 较好地提高了库尔勒市 香梨产业的发展 管理水平 关键词 ： 3S; 香梨 ; 调查 ; 信息管理系统 广西师范学院硕士论文 II 基于 3S 技术的库尔勒市香梨种植信息调查及系统开发 III Abstract Fragrant pear business is one of the most important pillar industries of forestry in Korla. For mastering the planting and production status of Korla pears in time, enhancing administrative decision-making ability and meet the need of modern information management, the investigation and information management for Korla pears have been carried on based on 3S Technology according to the demand of Korla municipal government. Taking administrative region of Korla as study area and the latest ZY-3 satellite remote-sensing image as basic information source, the remote sensing investigation and information management for Korla pears are carried on using the field survey data obtained by GPS and Google Earth. The main study results are as follow: 1.By collecting ZY-3 satellite remote-sensing image data of researched area, adopting professional image processing system, the image data is preprocessed by geometric correction with precision, band rectification, inlay and RGB false color composite, which is used for the basic data image of remote-sensing interpretation for Korla pears. 2. Analyzing the spectral and texture features of image data, the extracting model of decision-making tree for Korla pears has been constructed based on the spectral feature and spectrum combined with texture feature. Using the representative part of ZY-3 satellite remote-sensing images as test site, the planting information in test site was extracted respectively by two models. Then we analyzed the effect of extraction and selected the better from the two models as the extraction model. The planting area and spatial distributed information can be obtained by extraction (the preliminary survey achievements are used in the paper). 3. It can be found by means of precision test that the overall accuracy of Korla pears extraction reaches 93.1%, Kappa coefficient is 0.86, the accuracy of map-making for pear is 93.62%, and the omission error is 6.38%. The identification accuracy for the ages of Korla pears is 86.36% and Kappa coefficient is 0.79. 4. Using the C# as development language, the .NET as development environment, ArcGIS Server as development platform, the information system for Korla pear 广西师范学院硕士论文 IV planting is developed by combining SQL SERVER 2005 database technology and ArcSDE spatial database engine, which can achieve the basic functions such as browse, map query, data maintenance, planting information statistics and thematic map making. The system can provide real-time, reliable and fast scientific decision support for relevant departments or decision makers and improve management level for Korla pear industry. Keywords: 3S; Bergamot pear; Investigate; Information management system 基于 3S 技术的库尔勒市香梨种植信息调查及系统开发 I 目 录 摘 要 ............................................................................................................................ I Abstract...................................................................................................................... III 第一章 绪论 .................................................................................................................. 1 1.1 研究背景 ......................................................................................................... 1 1.2 研究目的和意义 ............................................................................................. 1 1.3.研究现状与存在问题 ...................................................................................... 2 1.4 研究的内容与技术路线 ................................................................................. 4 1.4.1 研究内容 .............................................................................................. 4 1.4.2 技术路线 ............................................................................................... 4 第二章 关键技术与方法 .........................................................................................。