摘要
梯田是我国山区丘陵地带重要的农业用地,历史悠久,意义重大。高分辨率遥感影像中梯田具有明显且独特的纹理信息,基于对象的纹理特征提取梯田可以改善"同谱异物"和"同物异谱"的现象。从空间域和频率域两个方面入手,运用空间卷积滤波和快速傅里叶变换对选取的小尺度且具有代表性的梯田纹理进行平滑去噪和边缘增强的处理,以克服干扰地物和无用信息的影响,充分保留梯田对象,在此基础上进行梯田对象的提取。梯田纹理的增强提高了梯田提取的精度,但以小尺度的梯田作为研究对象对大范围的梯田提取存在局限性。
Terrace is an important agricultural land in the hilly land of a mountainous area of China with a long history and great significance.The terraces in high-resolution remote sensing images have obvious and distinctive texture information.The extraction of terraced fields based on the texture features of objects can improve the phenomena of"same object with different spectra"and"different objects with same spectrum".In this paper,we using spatial convolution filtering and fast Fourier transform to noise smoothing and edge enhancing for selection of representative small terrace with scale from domain and frequency domain.In order to overcome the interference effect of the useless information,fully retain the terraced object and obtain the terraced field on this basis.The texture enhancement of terrace improves the precision of terrace extraction,but it is limited for large-scale terrace extraction to take small-scale terrace as the research object.
作者
赵钧阳
赖格英
ZHAO Junyang;LAI Geying(Jiangxi Normal University School of Geography and Environment,Key Laboratory for Poyang Lake Wetland and Watershed Research,Ministry of Education,330022,Nanchang,PRC)
出处
《江西科学》
2020年第2期263-268,共6页
Jiangxi Science
关键词
梯田提取
纹理
卷积滤波
FFT
terrace extraction
texture
convolution filtering
FFT
