基于GF-1影像多尺度—光谱差异分割的不同喀斯特地貌区土地利用信息提取  

Extraction of land use information in various karst landscapes based on multiple scale-spectral differential subdivision of GF-1 images

作　　者：陈啟英 安裕伦[1,2] 周旭 伍显[1,2] 奚世军 郝新朝 CHEN Qiying;AN Yulun;ZHOU Xu;WU Xian;XI Shijun;HAO Xinchao(Institute of Geography and Environmental Science,Guizhou Normal University,Guiyang,Guizhou 550000,China;Key Laboratory of Mountain Resources and Environmental Remote Sensing of Guizhou Province,Guiyang,Guizhou 550000,China)

机构地区：[1]贵州师范大学地理与环境科学学院,贵阳550000 [2]贵州省山地资源与环境遥感重点实验室,贵阳550000

出　　处：《中国岩溶》2019年第5期785-794,共10页Carsologica Sinica

基　　金：贵州省科技厅项目(黔科合计Z字[2015]4007号);国家自然科学基金项目(41161002)

摘　　要：影像分割是高分辨率遥感影像信息提取的前提,遥感影像分割的精确程度直接影响遥感分类的精度。为提高喀斯特山区遥感影像信息提取的精度,采用多尺度-光谱差异分割对喀斯特山区高分辨率影像分割,通过标准最近邻分类法提取土地利用信息,对比了仅多尺度分割、多尺度-光谱差异分割两种分割方法下喀斯特山区土地利用信息提取的精度。结果表明:(1)多尺度-光谱差异分割能改善过分割和欠分割现象。(2)多尺度-光谱差异分割优于单一使用多尺度分割。(3)多尺度-光谱差异分割综合了影像的光谱、纹理、形状等特征,进而提高了喀斯特山区影像分割分类的精度。Image segmentation is a necessary step in information extraction from high-resolution images.The ac curacy of such division can directly influence the precision of remote sensing classification.This work uses multiple scale-spectral differential method to conduct the division in karst mountainous areas,thus enhances the accuracy of information extraction.Using the standard most-adjacent classification method,information of land use is extracted from divided images.The accuracy of land use information extraction is compared for only multiple-scale subdivi sion and multiple-scale spectral differential subdivision.Results demonstrate that(1)multiple scale-spectral differ ence subdivision can solve the problems of over-division and under-division.(2)Multiple scale-spectral difference subdivision is superior to only using multiple scale subdivision.(3)Multiple scale-spectral difference subdivision considers many features of images such as spectra,lamination,and shape,thus permits to enhance the accuracy of division and classification of images in karst mountainous areas.

关 键 词：GF-1影像 喀斯特 多尺度-光谱差异分割 土地利用信息 

分 类 号：P237[天文地球—摄影测量与遥感]