Atmospheric correction and regional mineral map spotting method utilizing multi-scene ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) remote sensing data

Abstract

The invention relates to an atmospheric correction and regional mineral map spotting method utilizing multi-scene ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) remote sensing data, comprising the following nine steps of: (1) reading in ASTER data; (2) selecting reference data, wherein one-scene data is selected from multi-scene data as a reference for atmospheric correction; (3) carrying out the atmospheric correction on the reference data to obtain reference reflectivity data; (4) carrying out atmospheric correction on non-reference data to obtain non-reference reflectivity data; (5) calculating the overlay region spectral characteristic difference of the reference reflectivity data and the non-reference reflectivity data; (6) calculating the atmospheric water vapor content and the atmospheric visibility of the non-reference data; (7) newly carrying out the atmospheric correction on the non-reference data by utilizing the calculated atmospheric water vapor content and the atmospheric visibility to obtain non-reference reflectivity data; (8) carrying out inlaying treatment on the multi-scene reflectivity data including the reference data and the non-reference data; and (9) carrying out mineral identification and map spotting by utilizing spectral indexes. The method effectively eliminates inlaid gaps among the multi-scene data, thereby realizing the regional mineral map spotting.

Description

technical field [0001] The invention belongs to geological remote sensing technology, in particular to a method for atmospheric correction of multi-view ASTER remote sensing data and regional mineral mapping. Background technique [0002] ASTER data is ETM / ETM + The new generation of earth observation satellite remote sensing data after the data. This data can identify altered minerals related to the metallogenic process of metal deposits, such as sericite, kaolinite, chlorite, epidote, etc., and has great potential for application in resource exploration. However, the data processing is complicated, and traditional ETM / ETM + Data processing methods have been difficult to meet the requirements. Data processing mainly consists of two steps: 1) Atmospheric correction; 2) Mineral identification and mapping. [0003] The official algorithm for atmospheric correction of ASTER data released by the ASTER sensor development team is to first use the MODIS data in the same phase t...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the complexity of the official atmospheric correction algorithm of ASTER data and the difficulty of multi-view data mosaic and splicing, and the dual-band calculation method can not give full play to the advantages of ASTER data. Compared with ETM / ETM + Data, with more bands, proposes a multi-view ASTER data atmospheric correction and regional mineral mapping method, which can not only complete the atmospheric correction of ASTER data without the need for atmospheric parameters, but also effectively eliminate multi-view Differences in mineral mapping results between data due to different atmospheric parameters

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