摘要
Contourlet is a new 2-D signal analysis tool as well as wavelet analysis.It provides a flexible multi-resolution local and directional image expansion,and is more suitable for image processing than other math tools.In this paper,an IKONOS image with forests is decomposed by Contourlet transformation,then a method for extracting the boundary of forests from high-resolution remote sensing imagery is proposed associated watershed transformation and texture analysis.The experiment showed that the method could extract the boundary of forests accurately.
Contourlet is a new 2-D signal analysis tool as well as wavelet analysis.It provides a flexible multi-resolution local and directional image expansion,and is more suitable for image processing than other math tools.In this paper,an IKONOS image with forests is decomposed by Contourlet transformation,then a method for extracting the boundary of forests from high-resolution remote sensing imagery is proposed associated watershed transformation and texture analysis.The experiment showed that the method could extract the boundary of forests accurately.
出处
《林业科学研究》
CSCD
北大核心
2008年第z1期142-145,共4页
Forest Research
基金
中国科学院知识创新工程重要方向项目“三江平原湿地农田化过程及湿地-农田景观优化格局研究(KZCX3-SW-356)”
基于GIS的松嫩平原重要湿地管理系统(GF/2712-03)
