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基于尺度空间理论的定性光谱特征匹配方法研究
引用本文:刘伟,杨天克,郑明清,赵宝强.基于尺度空间理论的定性光谱特征匹配方法研究[J].测绘科学,2010,35(1):80-82.
作者姓名:刘伟  杨天克  郑明清  赵宝强
作者单位:西安测绘信息技术总站,西安,710054;西安测绘信息技术总站,西安,710054;西安测绘信息技术总站,西安,710054;西安测绘信息技术总站,西安,710054
摘    要:本文利用尺度空间理论对高光谱遥感数据中包含的精细光谱信息进行多尺度观察,在特定的尺度层次下提取能够对地物类别属性做出判断的定性约束特征,在此基础上结合光谱相似性测度最终确定像元所属类别。试验结果表明该方法可有效减少传统匹配算法由于噪声、成像环境等因素引起的误判、错分问题,提高分类识别的精度。

关 键 词:高光谱遥感  尺度空间  定性特征  光谱匹配

Qualitative spectrum feature matching based on the theory of scale space
LIU Wei,YANG Tian-ke,ZHENG Ming-qing,ZHAO Bao-qiang.Qualitative spectrum feature matching based on the theory of scale space[J].Science of Surveying and Mapping,2010,35(1):80-82.
Authors:LIU Wei  YANG Tian-ke  ZHENG Ming-qing  ZHAO Bao-qiang
Institution:Xi'an Information Technology Station of Surveying and Mapping;Xi'an 710054;China
Abstract:Through observing the fine spectral information which is included in hyperspectral remote sensing data with the theory of scale space,the paper extracted qualitative constraint features that under specific scale.These features can distinguish the attribute of object class.Combining with spectrum similarity measure,the pixel class can be determined.Test result indicated that this method can efficiently reduce the problems of miscarriage of justice from noise and environment of imaging and distinctly increase...
Keywords:hyperspectral remote sensing  scale space  determinedly feature  spectral matching  
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