植被覆盖地区遥感异常提取过程的应用与研究——以九江城门山为例

Y. Chen, Peng Zhang, P. Xu
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引用次数: 0

摘要

ASTER数据的空间和光谱分辨率比普通ETM数据有了很大的提高。ASTER遥感资料在异常蚀变矿物提取中具有良好的应用前景。本文对江西省九江地区城门山找矿前景进行了研究。根据金属矿床中常见蚀变矿物的光谱特征和ASTER波段特征,利用ASTER多光谱数据可以计算出褐铁矿化和氢氧自由基矿物的RBD。结合RBD和主成分法提取城门山遥感异常,并与地质信息进行对比,结果表明提取和处理数据处理技术更加可靠。
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The application and research of anomaly extraction process by remote sensing in the vegetation-covered area: an example in Chengmenshan of JiuJiang district
The spatial and spectral resolution of ASTER data has been greatly improved much more than the common ETM data. ASTER Remote sensing data have a good prospect in the abnormal alteration mineral extraction. This paper studies the ore prospect in Chengmenshan of the JiuJiang district, JiangXi Province. According to the spectral features of common alteration mineral on metal deposits and the ASTER band characteristics, using ASTER Multi-spectrum data can calculate the RBD of limonitization and hydroxide radical mineral. Extracting remote sensing anomaly in Chengmenshan combine RBD with Principal component method, and contrasted with the geologic information, the results show that extract and process data-processing techniques are more reliable.
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