基于遥感图像增强的海岸线提取方法  

Coastline Extraction Method Based on Remote Sensing Image Enhancement

作　　者：郭碧云 潘磊剑 Mantravadi.Venkata subrahmanyam GUO Biyun;PAN Leijian;Mantravadi.Venkata subrahmanyam(Marine Science and Technology College,Zhejiang Ocean University,Zhoushan 316022,China)

机构地区：[1]浙江海洋大学海洋科学与技术学院,舟山316022

出　　处：《海洋开发与管理》2020年第7期42-44,共3页Ocean Development and Management

基　　金：国家自然科学基金项目(51479179,51209119);浙江海洋大学通识教育课程建设项目“遥感技术概论”.

摘　　要：在人类活动和自然环境的影响下,海岸带长期处于变化状态,准确提取和实时监测海岸线变化对我国海岸带的利用与开发具有重要意义。文章利用Landsat TM遥感图像和ERDAS IMAGINE遥感图像处理软件的监督分类和图像增强方法,提出两种海岸线获取方法,完成海岸线的自动提取,实现海岸带的大面积同步和动态监测。Under the influence of human activities and natural environment,the coastal zone has been in a changing status for a long time.Accurate extraction and real-time monitoring of coastline changes are of great significance for the utilization and development of China′s coastal zone.Using the supervised classification and image enhancement methods of ERDAS remote sensing image processing software and Landsat TM remote sensing image,two coastline extraction methods were proposed to complete the automatic coastline extraction and realize large-area synchronous and dynamic monitoring of the coastal zone in this paper.

关 键 词：遥感 Landsat TM 海岸线 监督分类 图像增强 

分 类 号：P74[天文地球—海洋科学]