Automatic extraction of floating ice at Antarctic continental margin from remotely sensed imagery using object-based segmentation  

作　　者：ZHAO ZiYing LIU Zhen GONG Peng 

机构地区：[1]College of Global Change and Earth System,Beijing Normal University,Beijing 100875,China [2]Center of Information & Network Technology,Beijing Normal University,Beijing 100875,China [3]State Key Laboratory of Remote Sensing Science,jointly sponsored by the Institute of Remote Sensing Applications,Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China

出　　处：《Science China Earth Sciences》2012年第4期622-632,共11页中国科学(地球科学英文版)

基　　金：Supported by the National High Technology Research and Development Program of China (Grant No.2008AA09Z117)

摘　　要：Information of Antarctic iceberg and sea ice are valuable to Antarctic ice melting patterns studies which are helpful to understand climate conditions and general trends of our planet.This paper presents an automatic floating ice extraction method based on image segmentation technology using region growing.It effectively solves the over-segmentation and under-segmentation problems by merging the gray,contour,location and other information of each ice-object.A pixel-based extraction method is proposed to extract the small ices within 5 pixels.LANDSAT TM data,Chinese environment disaster satellite HJ1B data,and MODIS 1B data used to detect Floating ice at Antarctic continental margin respectively.The results showed that the extraction accuracies of the three kinds of data were all higher than 81 percent,while the accuracies of both TM data and HJ1B data were higher than 90%.Object-based information extraction methods can not only obtain the total area and number of floating ice objects in the whole region,but also provide precise details of single objects,including area,perimeter,contour,average brightness.Information of Antarctic iceberg and sea ice are valuable to Antarctic ice melting patterns studies which are helpful to under- stand climate conditions and general trends of our planet. This paper presents an automatic floating ice extraction method based on image segmentation technology using region growing. It effectively solves the over-segmentation and under- segmentation problems by merging the gray, contour, location and other information of each ice-object. A pixel-based extrac- tion method is proposed to extract the small ices within 5 pixels. LANDSAT TM data, Chinese environment disaster satellite HJ1B data, and MODIS 1B data used to detect Floating ice at Antarctic continental margin respectively. The results showed that the extraction accuracies of the three kinds of data were all higher than 81 percent, while the accuracies of both TM data and HJ1B data were higher than 90%. Object-based information extraction methods can not only obtain the total area and number of floating ice objects in the whole region, but also provide precise details of single objects, including area, perimeter, contour, average brightness.

关 键 词：ANTARCTIC ice extraction image segmentation OBJECT-ORIENTED 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] P731.15[自动化与计算机技术—控制科学与工程]