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Altering remote sensing abnormal extraction method and system

An extraction method and anomaly technology, applied in the field of alteration remote sensing anomaly extraction and system, can solve the problems of time-consuming and difficulty in extracting effective prospecting information, and achieve the effects of strong exploration pertinence, promotion of production development, and small anomaly distribution range

Inactive Publication Date: 2011-04-20
INST OF MINERAL RESOURCES CHINESE ACAD OF GEOLOGICAL SCI
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  • Claims
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Problems solved by technology

It is difficult and time-consuming to extract effective prospecting information from such mixed information

Method used

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  • Altering remote sensing abnormal extraction method and system
  • Altering remote sensing abnormal extraction method and system
  • Altering remote sensing abnormal extraction method and system

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Embodiment Construction

[0024] Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. If it is considered that the detailed description of some related prior art may obscure the gist of the present invention, the detailed description thereof will not be provided here.

[0025] The mineral deposit type anomaly extraction of the present invention is a targeted alteration remote sensing anomaly extraction technology based on the analysis and testing of certain types of ore deposit rock spectrum features. The basis of this technology is the spectral test analysis of a large number of altered rocks in typical deposits, the statistics of spectral curve characteristics, and the summary of laws. For example, based on the spectral statistics of three different types of deposits, the Huangshanshan mafic copper-nickel deposit, the Shaquanzi skarn-type lead-zinc deposit, and the Tianmu shear-zone gold deposit in the eastern Tianshan area of ​​...

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Abstract

The invention provides an altering remote sensing abnormal extraction method and a device used for extracting the information representing a neighboring-ore altered rock relevant to mineralization from the input remote sensing data; and the remote sensing data comprises a pixel value in a certain geographical area of a plurality of wave bands. The method comprises the following steps of: implementing pre-processing on the input remote sensing data; cutting off a first image area containing a known deposit type from a remote sensing image which is represented by the remote sensing data obtained from the pre-processing; for the first image area, utilizing a predetermined threshold value for selecting a second image area which is in conformity with the threshold value abnormally from the first image area; and aiming at the second image area, based on the reference spectra of the known deposit type, determining the similarity between the second image area and the known deposit type.

Description

[0001] This invention is supported by the key project of the national science and technology support plan (number: 2006BAB07B07-02), the national major basic research project (number: 2007CB411406), the geological survey work project (number: 1212010818018) and the basic scientific research business fee of the central public welfare scientific research institute Supported by special funds for projects (No. K2007-2-7). technical field [0002] The present invention generally relates to using information technology to assist ore deposit exploration, and in particular to a method and device for extracting alteration remote sensing anomalies. Background technique [0003] The alteration of surrounding rocks near the ore is the imprint left by the process of gradual enrichment and mineralization of metallogenic materials. The most common alterations are: silicification, sericitization, chloritization, greisenization, skarnization, dolomitization, bariteization and ferromanganese ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/00G01J3/28
Inventor 杨建民张玉君姚佛军耿新霞
Owner INST OF MINERAL RESOURCES CHINESE ACAD OF GEOLOGICAL SCI
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