摘要
遥感图像分割中森林植被是重要的一类目标,有效确定森林植被的纹理尺度是纹理分割的重要问题。提出一种用蓝噪声理论描述遥感图像森林植被纹理特征的方法,是一种新的植被纹理刻画和纹理尺度计算方法。研究尺度与植被纹理形态的对应关系,对于选定的探测区域,迭代寻找蓝噪声特征。迭代过程包含通过几何变换缩小区域的尺寸,用快速傅里叶变换获取区域的频谱响应,从频谱响应中提取蓝噪声特征。对于具有蓝噪声特征的区域,计算森林植被纹理的灰度分布,根据当前区域尺寸计算纹理的尺寸。实验表明,森林植被纹理单元的尺度和灰度分布测量结果准确,为进一步纹理分割提供了可靠的基础。
Forest vegetation remote sensing image segmentation is an important kind of target, and effective determination of the scale of forest vegetation texture segmentation is an important research topic. This paper presents a method in which the blue noise theory is used to describe the characteristics of remote sensing images for forest vegetation texture. This is a new method for vegetation texture characterization and texture scale calculation. The correspondence between the research scale morphology and vegetation textures can be used in the selected detection area to iteratively search for blue noise characteristics. Iteration consists of the reduction of the region size through the geometric transformation and the obtaining of a spectral response region by fast Fourier transform so as to extract the blue noise characteristics from the spectral response. For regions with blue noise characteristics, the intensity distribution of forest vegetation texture is computed, and the texture size is calculated based on the current size of the area. Experimental results show that the gray scale and the distribution of forest vegetation texture units can be accurately measured, which lays reliable foundation for further texture segmentation.
出处
《国土资源遥感》
CSCD
北大核心
2015年第2期63-68,共6页
Remote Sensing for Land & Resources
基金
国家自然科学基金项目(编号:41271422)
辽宁省教育厅自然科学基金项目(编号:L2012379)共同资助
关键词
遥感图像
纹理分割
蓝噪声
森林植被
remote sensing image
texture segmentation
blue noise
forest vegetation
