Abnormal remote sensing information extraction method and device based on spatial data set analysis

Abstract

The invention provides an abnormal remote sensing information extraction method and device based on spatial data set analysis. The method comprises the following steps of: step 1, calculating a feature vector and a feature value of obtained remote sensing image data by adopting a spatial data set analysis mode according to the characteristics of electron abnormity and group abnormity, and carryingout data segmentation according to the feature value and the feature vector; step 2, conducting abnormal information extraction on the segmented data through a principal component analysis method, and conducting abnormal information cutting and verification; and step 3, in combination with a false color image which is formed by waveband selection and synthesis of remote sensing image data, carrying out superposition processing on grids and vectors by using coordinate layering, and then outputting a remote sensing abnormal image which is suitable for human eye observation. According to the method, the abnormal distribution range obtained by adopting a spatial data set analysis-based electronic abnormity and group abnormity extraction technology is small, the investigation pertinence on oredeposit in different landscape areas is high, ore finding target areas can be optimized more quickly and accurately, and the abnormal extraction efficiency is improved.

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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