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高光谱数据的波段序结构分析与应用研究 |
张远飞1,2, 吴德文1, 张艮中3, 朱谷昌1, 李红1,4 |
1.有色金属矿产地质调查中心,北京100012; 2.桂林矿产地质研究院,桂林541004;
3.北京泰坦科技有限公司,北京100083; 4.中南大学,长沙408309 |
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Study on Band Sequence Structure Analysis of Hyperspectral Data |
ZHANG Yuan-fei 1, 2, WU De-wen 1, ZHANG Gen-zhong 3, ZHU Gu-chang 1, LI Hong 1, 4
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1.China Non-ferrous Metals Resource Geological Survey, Beijing 100012, China;
2.Guilin Research Institute of Geology for Mineral Resources,Guilin 541004, China;
3.Beijing Titan Science & Technology Co.Ltd., Beijing 100083, China; 4.Central South University,Changsha 408309,China |
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摘要 把高光谱数据近似于连续的细分波段作为波段序列数据,由此提出波段序结构分析技术,主要包括波段序列直方图、左(右)偏度参量分析
、相关(似)矩阵分析和回归偏度分析等。通过对波段序结构分析技术在高光谱数据的统计特征分析与数据质量评价、“蚀变异常”信息潜在性评
价与特征波段选择及矿物蚀变信息提取等几个方面的应用研究与实践,阐述了这一技术思想的科学性与实用价值。
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关键词 :
侧视雷达图像,
X波段,
故河道,
克里雅河
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Abstract: This paper puts forwards a new kind of technical approach-Band Sequence Structure Analysis (BSSA) by using the
hyperspectral data as the band-series data which have almost continuous sub-band. This new technical approach includes such means
as band sequence histogram, left (right) skew parameter analysis, relevant (similar) matrix and regression skew analysis. In this
paper, the BSSA of hyperspectral data is applied to such fields as statistical character analysis and quality evaluation,
evaluation of potentiality of alteration information, selection of characteristic bands and extraction of mineral alteration
information. The result of the application demonstrates the scientific value and practicality of the new technical idea. |
Key words:
SLA image
X-band
Fossil river course
Keliya River
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出版日期: 2010-03-22
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引用本文: |
张远飞, 吴德文, 张艮中, 朱谷昌, 李红. 高光谱数据的波段序结构分析与应用研究[J]. 国土资源遥感, 2010, 22(1): 30-38.
ZHANG Yuan-Fei, Wu De-Wen, ZHANG Gen-Zhong, ZHU Gu-Chang, LI Hong. Study on Band Sequence Structure Analysis of Hyperspectral Data. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(1): 30-38.
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链接本文: |
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.01.05
或
https://www.gtzyyg.com/CN/Y2010/V22/I1/30
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