Method and device for extracting abnormal remote sensing information based on spatial data set analysis

Abstract

The present invention provides a method and device for extracting abnormal remote sensing information based on spatial data set analysis. The method includes: a first step of calculating feature vectors for acquired remote sensing image data by means of spatial data set analysis according to the characteristics of electronic anomalies and group anomalies and eigenvalues, and segment the data according to the eigenvalues ​​and eigenvectors; in the second step, use principal component analysis to extract abnormal information from the segmented data, and perform cutting and verification of abnormal information; in the third step, combine The false color image synthesized by band selection from the remote sensing image data is superimposed on the grid and vector by coordinate layering, and then the remote sensing anomaly image suitable for human observation is output. This method uses the electronic anomaly and group anomaly extraction technology based on spatial data set analysis to obtain a small anomaly distribution range, which is highly targeted for the detection of mineral deposits in different landscape areas, which is conducive to faster and more accurate selection of ore prospecting target areas, and improves Exception extraction efficiency.

Description

technical field [0001] The invention relates to the field of geological exploration, in particular to a method and device for extracting abnormal remote sensing information based on spatial data set analysis. Background technique [0002] At present, the so-called remote sensing anomaly information extraction mainly refers to the anomalies caused by the absence of hydroxyl groups and iron-stained electrons, which are often used to characterize the information of altered rocks most related to mineralization. Electronic anomaly and group anomaly remote sensing information are mainly used as ore prospecting signs, which have geological basis and spectral basis, and have been proved and widely used in practice. [0003] The formation process of ore deposits is a gradual enrichment process of some useful elements, and this metallogenic material is usually transported and enriched by ore-forming hydrothermal fluids. The alteration of surrounding rocks near the ore is the imprint ...

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Problems solved by technology

[0007] In order to solve the problems in the prior art that the remote sensing anomaly extraction method of alteration in different landscape areas is difficult, there are many false anomalies, and a large number of "area-type" anomalies that have little relationship with ore prospecting appear, making the ore prospecting untargeted, etc., the present invention provides a An anomaly remote sensing information extraction method based on spatial data set analysis. This method adopts the electronic anomaly and group anomaly extraction technology based on spatial data set analysis to obtain a small anomaly distribution range, which reduces the "area type" that has little relationship with ore prospecting. Abnormal, the detection of mineral deposits in different landscape areas is highly targeted, which is conducive to faster and more accurate optimization of prospecting target areas

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