Segment-based land-use classification from SPOT satellite data
Segment-based land-use classification from SPOT satellite data
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DOI：
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发表时间：
1994
影响因子：
1.3
通讯作者：
K. Johnsson
中科院分区：
文献类型：
--
作者：
K. Johnsson
使用传统的多光谱分类技术，无法从高分辨率卫星数据中对光谱不均匀的土地使用类别进行适当分类。在这项研究中，建立了土地提取的光谱和光谱分类的卫星图像中的片段的空间特性的基础上。对象结构和分类规则已在专家系统外壳Nexpert Object中实现。该方法已使用覆盖瑞典斯德哥尔摩以南地区的SPOT多光谱数据进行了测试。在应用了几个相对简单的规则之后，基于段的大小和段之间的关系，建设用地的分类精度显著提高
Spectrally heterogeneous land-use categories cannot be adequately classified from high resolution satellite data, using conventional multispectral classification techniques. In this study, built-up land is extracted based on the spectral and the spatial properties of the segments in a spectrally classified satellite image. Object structures and classification rules have been implemented in an expert system shell ― Nexpert Object. The approach has been tested using SPOT multispectral data covering an area south of Stockholm, Sweden. The classification accuracy for built-up land improved significantly after the application of a few relatively simple rules, based on segment size and on relations between segments