The application and research of anomaly extraction process by remote sensing in the vegetation-covered area: an example in Chengmenshan of JiuJiang district
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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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