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基于IDL语言的太湖蓝藻水华遥感监测信息系统设计
引用本文:王甡,江南,胡斌.基于IDL语言的太湖蓝藻水华遥感监测信息系统设计[J].遥感信息,2010,0(2):59-64.
作者姓名:王甡  江南  胡斌
作者单位:1. 中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,南京,210008;中国科学院研究生院,北京,100049
2. 南京师范大学虚拟地理环境教育部重点实验室,南京,210046
基金项目:国家自然科学基金,中国科学院南京地理与湖泊所所长专项基,国家测绘局新农村建设测绘保障服务示范项目 
摘    要:以MODIS L1B数据为数据源,采用IDL语言,运用系统配置与插件技术实现系统架构,设计中间件解决系统框架和IDLDrawWidget控件通信接口的衔接问题,设计模型对象管理器组织模型对象,设计IDL数据显示的组织结构实现图像显示及其与矢量数据的叠加显示,使用相对图像坐标系显示叠加的矢量数据,并运用影像匹配技术和仿射变换技术分别实现了MODIS L1B影像"双眼皮"消除及其几何校正,在此基础上运用蓝藻水华遥感监测模型,实现蓝藻水华空间分布信息自动化提取。

关 键 词:MODIS  蓝藻水华  遥感监测  信息系统  IDL  太湖
收稿时间:2009-04-07
修稿时间:2009-05-17

Design of Remote Sensing Information System for Monitoring Cyanobacteria Bloom in Taihu Lake Based on Interactive Data Language
WANG Shen①,②,JIANG Nan③,HU Bin.Design of Remote Sensing Information System for Monitoring Cyanobacteria Bloom in Taihu Lake Based on Interactive Data Language[J].Remote Sensing Information,2010,0(2):59-64.
Authors:WANG Shen①    JIANG Nan③  HU Bin
Affiliation:③(①State Key Laboratory of Lake Science and Environment,Nanjing Institute ofGeography and Limnology,Chinese Academy of Sciences,Nanjing 210008;②Graduate School of Chinese Academy of Sciences,Beijing 100049;③Key Laboratory of Virtual Geographic Environment;MOE;Nanjing Normal University,Nanjing 210046)
Abstract:The quickly monitoring of cyanobacteria bloom in Taihu Lake is significant to emergency response plan and the building remote sensing monitoring system can provide effective support.The system data are derived from MODIS Level 1B,and the system is designed based on interactive data language.The System configuration and plug-in techniques are used to implement system architecture,the middleware is designed to solve problem of communication between system architecture and IDL Draw Widget control,the model manager is designed to organize all model objects,the IDL display data structure is arranged to view and overlay vector data on image based on relative image coordinate system.Image matching and affine transform methods are adopted to remove MODIS bowtie and perform the geometric correction.Based on these techniques,cyanobacteria bloom spatial distribution information is automatically extracted from pretreated image data using the remote sensing inversion model,eventually achieving remarkable results in monitoring cyanobacteria bloom in Lake Taihu when running the information system.
Keywords:MODIS  IDL  MODIS  cyanobacteria bloom  remote sensing monitoring  information system  IDL  Lake Taihu
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