| 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 |
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| 引用本文： | 陈啟英,安裕伦,周旭,伍显,奚世军,郝新朝.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[J].中国岩溶,2019,38(5):785-794. |
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| 作者姓名： | 陈啟英 安裕伦 周旭 伍显 奚世军 郝新朝 |
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| 作者单位： | 贵州师范大学 地理与环境科学学院，贵阳 550000/贵州省山地资源与环境遥感重点实验室，贵阳 550000 |
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| 基金项目： | 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） |
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| 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。
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| 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 |
Extraction of land use information in various karst landscapes based on multiple scale-spectral differential subdivision of GF-1 images |
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| CHEN Qiying,AN Yulun,ZHOU Xu,WU Xian,XI Shijun and HAO Xinchao.Extraction of land use information in various karst landscapes based on multiple scale-spectral differential subdivision of GF-1 images[J].Carsologica Sinica,2019,38(5):785-794. |
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| Authors: | CHEN Qiying AN Yulun ZHOU Xu WU Xian XI Shijun and HAO Xinchao |
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| Institution: | 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 |
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| Abstract: | Image segmentation is a necessary step in information extraction from high-resolution images. The accuracy 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 subdivision and multiple-scale spectral differential subdivision. Results demonstrate that (1) multiple scale-spectral difference 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. |
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| Keywords: | GF-1 image karst multiple scale-spectral difference subdivision land use information |
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