韩鹏鹏,黄进良,李仁东,王立辉,胡砚霞,黄 维.基于面向对象的坑塘遥感监测与动态分析[J].农业机械学报,2015,46(1):272-277.
Han Pengpeng,Huang Jinliang,Li Rendong,Wang Lihui,Hu Yanxia,Huang Wei.Remote Sensing Monitoring and Dynamic Analysis of Ponds Based on Object-oriented Rules[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):272-277.
摘要点击次数: 3531
全文下载次数: 1899
基于面向对象的坑塘遥感监测与动态分析   [下载全文]
Remote Sensing Monitoring and Dynamic Analysis of Ponds Based on Object-oriented Rules   [Download Pdf][in English]
投稿时间:2014-05-09  
DOI:10.6041/j.issn.1000-1298.2015.01.038
中文关键词:  坑塘 遥感 面向对象 动态监测
基金项目:中科院战略性先导科技专项资助项目(XDA05050107)
作者单位
韩鹏鹏 中国科学院 
黄进良 中国科学院 
李仁东 中国科学院 
王立辉 中国科学院 
胡砚霞 中国科学院 
黄 维 中国科学院 
中文摘要:以江汉平原的洪湖市为研究区,利用1990—2009年间的3期Landsat卫星TM遥感数据,基于面向对象的分类方法进行多尺度分割,利用光谱、空间、纹理等特征,并结合专家知识进行坑塘信息提取,对洪湖市坑塘变化状况进行遥感监测和时空演变分析。结果显示:利用面向对象的自动分类方法可以有效提取坑塘信息。洪湖市坑塘面积在1990—2009年间呈现增加趋势,其中1990—2000年与2000—2009年间坑塘面积分别增加了306.53km2和379.69km2。坑塘增加面积随着与湖泊空间距离的增加而减少,坑塘的增加主要由耕地、湖泊和河流转化而来。利用面向对象的坑塘信息自动提取可以为区域资源环境调查监测提供参考。
Han Pengpeng  Huang Jinliang  Li Rendong  Wang Lihui  Hu Yanxia  Huang Wei
Chinese Academy of Sciences,Chinese Academy of Sciences,Chinese Academy of Sciences,Chinese Academy of Sciences,Chinese Academy of Sciences and Chinese Academy of Sciences
Key Words:Ponds Remote sensing Object oriented Dynamic monitoring
Abstract:With the development of remote sensing technology, monitoring and dynamic analysis of ponds is becoming easier to obtain which is very important for regional LUCC research and water resource protection. Taking Honghu city in Jianghan plain as study area, the multi-scale segmentation was carried out based on object-oriented method according to the Landsat TM remote sensing data in 1990, 2000 and 2009. The spectral, space, texture features were used as well as the expert system was also combined for the extraction of ponds information. Remote sensing monitoring and spatial-temporal evolution analysis were carried out on the change of pond in Honghu city. The results showed that ponds area performed an increasing trend in the past 20 years. The increased ponds area in 1990—2000 and 2000—2009 were 306.53km2 and 379.69km2, respectively. The increasing pond area decreased with increasing distance to lakes, and the increasing pond area usually changed from farm land, lakes and rivers. Object-oriented ponds information provides important reference data in monitoring region environment and resources.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器