CN103454693B - A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method - Google Patents
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method Download PDFInfo
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Abstract
The invention belongs to remote sensing information science technical field, be specifically related to a kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method.Purpose is the most effectively to identify and alaskite type U metallogeny closely-related U metallogeny key element.The method includes the steps such as Multi-scale remotely sensed data pretreatment, multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks structure, the interpretation of ore-controlling structure remote sensing geology, the interpretation of alaskite body Identification of Remote Sensing Information, different times stratum remote sensing geology, hydrothermal alteration high spectrum mineral map plotting and alaskite type uranium exploration ore factor remote sensing Integrated Interpretation.The method of the present invention can effectively identify multiple alaskite type U metallogeny key element, provides remote sensing information foundation for alaskite type uranium exploration.
Description
Technical field
The invention belongs to remote sensing information science technical field, be specifically related to a kind of alaskite type uranium exploration and become ore deposit
Key element atlas of remote sensing characteristic recognition method.
Background technology
Alaskite type uranium ore is one of important uranium dre type, by accurately identifying and extract and alaskite type uranium
Mineral products go out closely-related various ore factor, as ore-controlling structure, ore-host strata, containing ore deposit alaskite body, tax
Country rock stratum, ore deposit, hydrothermal alteration etc., have for effectively delineation Uranium potentiality target area and raising uranium resource measurer
Significance.
Currently, the method utilizing remote sensing technology identification alaskite type U metallogeny key element includes lithology interpretation, alteration
Band identification and structure interpretation etc., said method has played positive role in terms of regional geological environment analysis.But
Along with the fast development of Detection Techniques, the appearance of the remote sensor such as high spatial resolution, high spectral resolution,
How to make full use of the Multi-scale remotely sensed data such as Aeronautics and Astronautics, ground, in the way of collection of illustrative plates unification, comprehensively
Interpretation U metallogeny element information, is the technological difficulties of current alaskite type uranium exploration research.Accordingly, it would be desirable to
Make full use of advanced person Global observation by remote sensing broad covered area, acquisition of information speed is fast, detection accuracy is high,
The technical characterstics such as borderless restriction, in conjunction with modern information technologies, physics of remote sensing theoretical and novel U metallogeny reason
Opinion, develops ore factor atlas of remote sensing feature identification Xin Fafa towards the application of alaskite type uranium exploration.
Summary of the invention
It is an object of the invention to be for alaskite type uranium exploration demand and existing Remote Sensing Data Processing technology
Defect, a kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method of exploitation, comprehensively comment
Valency alaskite type uranium ore region ore-forming setting, draws a circle to approve Prospect for prospecting target area.
For achieving the above object, technical scheme design is as follows:
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method, comprises the steps:
Step 1, Multi-scale remotely sensed data pretreatment；Gather space flight, aviation and ground remote sensing data, utilize number
Data preprocess method, Inversion Calculation remotely-sensed data intrinsic parameters；
Step 2, multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks builds: according to step 1
The Inversion Calculation remotely-sensed data intrinsic parameters obtained, set up the ore-controlling structure relevant to alaskite type U metallogeny,
Containing ore deposit alaskite body, different times stratum, hydrothermal alteration atlas of remote sensing recognition marks, analyze its diagnosable light
Spectrum formation mechenism, builds the data of above-mentioned multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks
Storehouse；
Step 3, alaskite type U metallogeny key element atlas of remote sensing feature identification: according to step 2 set up multiple in vain
Hilllock lithotype U metallogeny key element atlas of remote sensing information recognition marks, utilizes information identifying method, it is achieved its remote sensing is different
Often information separates with background ground object target, thus draws a circle to approve its spatial distribution scope, it is achieved alaskite type U metallogeny
Key element atlas of remote sensing feature interprets；
Step 3.1, ore-controlling structure atlas of remote sensing feature identification: utilize remote sensing image textural characteristics to strengthen and spectrum
Geochemical anomalies studying, identifies region ore-controlling structure；Processed by Hi-spatial resolution remote sensing image, accurately enclose
Determine ore-controlling structure, the spatial distribution of ore-host strata in the range of mineral deposit；
Step 3.2, alaskite body atlas of remote sensing feature identification: utilize threshold segmentation method, based on morphological operator
Classification cluster method and neighbor map speckle merge method, extract dissimilar alaskite body remote sensing abnormal feature；
Step 3.3, different times stratum atlas of remote sensing feature identification: based on different times stratum spectral matching factor mark
Will, the texture off-note formed in conjunction with its structure structure and weathering and erosion, classified by remote sensing image rock ore deposit
With linear, annular feature recognition methods, effectively delineation different times stratum spatial distribution scope；
Step 3.4, hydrothermal alteration high-spectrum remote-sensing mineral charting: determine the multiple diagnosable suction of hydrothermal alteration mineral
Receive spectral signature, utilize Spectral angle mapper, Spectral matching or neuroid sorting technique, it is achieved hydrothermal solution is lost
Become mineral high-spectrum remote-sensing charting；
Step 4, alaskite type uranium exploration ore factor remote sensing Integrated Interpretation: become in step 3 alaskite type uranium
On the basis of the key element atlas of remote sensing feature interpretation of ore deposit, ground by the multiscale morphology collection of illustrative plates abnormal information regularity of distribution
Study carefully, in conjunction with Geophysical-chemical, uranium geology Involved Multisource Geoscience Information analysis, complete the alaskite multiple uranium of type uranium exploration
Ore factor remote sensing geology Integrated Interpretation, evaluation study district alaskite type uranium formation conditions, screens and draws a circle to approve weight
Point remote sensing abnormal concentration zones, it was predicted that uranium Prospect for prospecting target area.
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method as above, wherein:
In step 1, the selection principle to Multi-scale remotely sensed data is high spatial resolution, high spectral resolution and shadow
As data SNR is high.
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method as above, wherein:
In step 1, described space flight, aviation and ground remote sensing data, including space flight high spatial resolution optical remote sensing
Image data, space flight high-spectral data, space flight high-resolution imaging radar data, Airborne Hyperspectral data,
Ground visible ray-thermal infrared imaging spectroscopic data and non-imaged spectroscopic data.
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method as above, wherein:
In step 1: described data preprocessing method includes that atmospheric correction, geometric correction, image mosaic and image increase
By force, specific as follows:
Step 1.1, atmospheric correction utilizes atmospheric radiative transfer-EO-1 hyperion sensor-mark type spectral characteristic of ground to build
The integrated atmospheric correction method of mould, it is achieved Hyperspectral imaging reflectance intrinsic parameters Inversion Calculation；
Step 1.2, geometric correction, for Airborne Hyperspectral remote sensing image data, utilizes sensor to determine appearance location system
The three dimensional space coordinate of system offer, six orientation parameters of three-axis attitude data, calculated by geometric distortion amount,
Recover high spectrum image high accuracy geometric properties；
Step 1.3, image mosaic and image enhaucament, according to step 1.1 and step 1.2 obtain through air
High accuracy after correction and geometric correction, high-definition remote sensing image data, utilize noise cancellation method and shadow
As method for embedding, it is achieved many air strips high-spectrum remote-sensing is inlayed and strengthened with TuPu method.
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method as above, wherein:
In step 2, the spectral region of described alaskite type U metallogeny key element atlas of remote sensing information recognition marks contains can
See optical and thermal infrared band.
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method as above, wherein:
In step 3 and step 4, ore-controlling structure, containing ore deposit alaskite body, hydrothermal solution identification, the one-tenth on different times stratum
Ore deposit key element remote sensing geology Integrated Interpretation use layering collection of illustrative plates geochemical anomalies studying, thematic information overlapping with merge and
Off-note focus analysis method, it is achieved alaskite type uranium formation conditions remote sensing geology is evaluated.
Beneficial effects of the present invention is as follows: the method for the present invention can the most effectively identify to become with alaskite type uranium
The closely-related ore-controlling structure in ore deposit, containing the U metallogeny such as ore deposit alaskite body, different times stratum, hydrothermal alteration want
Element, analyzes its space distribution rule by comprehensive, preferably provides distant with target area for alaskite type uranium metallogenic prognosis
Sense information support.
Accompanying drawing explanation
Fig. 1 is a kind of alaskite type uranium exploration ore factor atlas of remote sensing feature identification provided by the present invention
The flow chart of method；
Fig. 2 is alaskite type uranium mining area typical case's U metallogeny key element diagnostic light spectrum discrimination mark comparison diagram；
Fig. 3 is that the alaskite type uranium mining area multiple U metallogeny key element atlas of remote sensing information utilizing the present invention to work out is known
Not and remote sensing geology Integrated Interpretation figure.
Detailed description of the invention
With case study on implementation, the present invention is described further below in conjunction with the accompanying drawings.
The Research idea of the present invention is " vacant lot, sky " integration remote sensing such as comprehensive utilization space flight, aviation, ground
Detection Techniques over the ground, are known by the exploitation remotely-sensed data TuPu method such as high spatial resolution, high spectral resolution
Other new method, it is achieved multiple alaskite type U metallogeny key element profile information identification, and then effectively delineation remote sensing is different
Often information concentration zones, provides important evidence and remote sensing technology to support for Uranium potentiality target prediction.
A kind of alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method, its flow process such as Fig. 1 institute
Show, comprise the steps:
Step 1, Multi-scale remotely sensed data pretreatment: gather space flight, aviation and ground remote sensing data, utilize number
Data preprocess method, Inversion Calculation remotely-sensed data intrinsic parameters；" vacant lot, the sky " chi integrated, many gathered
Degree remotely-sensed data includes space flight high spatial resolution optical remote sensing image data, space flight high-spectral data, space flight
High-resolution imaging radar data, Airborne Hyperspectral data, ground visible ray-thermal infrared imaging spectroscopic data and
Non-imaged spectroscopic data.Corresponding data preprocessing method includes high accuracy atmospheric correction, geometric correction, shadow
As inlaying, reflectance Inversion Calculation, temperature and emissivity separation algorithm, texture feature information identification, image
Noise remove etc..Remotely-sensed data intrinsic parameters includes reflectance, emissivity, temperature, texture feature information.
Step 1 preferably use following step by step realize:
Step 1.1, atmospheric correction mainly utilizes atmospheric radiative transfer-EO-1 hyperion sensor-mark type object spectrum special
Levy the integrated atmospheric correction algorithm of modeling, it is achieved the intrinsic parameters Inversion Calculation such as Hyperspectral imaging reflectance.
Step 1.2, geometric correction aspect, for high-resolution Airborne Hyperspectral remote sensing image data, utilize and pass
Sensor determines three dimensional space coordinate, the three-axis attitude data (pitching, sidewinder, go off course) that appearance alignment system provides
Deng six orientation parameters, by geometric distortion amount accurate calculation, recover high spectrum image high accuracy geometric properties.
Step 1.3, image mosaic and image enhaucament aspect, the process obtained according to step 1.1 and step 1.2
High accuracy after atmospheric correction and geometric correction, high-definition remote sensing image data, utilize noise cancelling alorithm
With image mosaic algorithm, it is achieved many air strips high-spectrum remote-sensing is inlayed and strengthened with TuPu method.
Step 2, multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks builds: based on alaskite
Type U metallogeny is theoretical and physics of remote sensing basis, learns feature and can with analyzing multiple alaskite type U metallogeny key element
Diagnosis absorption spectrum feature, extracts its EO-1 hyperion recognition marks, builds spectrum data storehouse.Data-base content bag
Include ore-controlling structure, containing ore deposit alaskite body, different times stratum, the spatial data of hydrothermal alteration, spectrum
Characteristic information, geographic properties data and chemical analysis data.
Step 2.1, the reflectance of multiple remotely-sensed data obtained according to step 1, emissivity, temperature, texture
The information such as feature, utilize abnormal information Computer Automatic Recognition algorithm, extract close with alaskite type U metallogeny
Relevant ore-controlling structure, containing diagnosable absorption spectrums such as ore deposit alaskite body, different times stratum, hydrothermal alterations
Parameter and textural characteristics parameter, based on remote sensing technology and GIS-Geographic Information System, set up above-mentioned U metallogeny key element distant
Sense profile information recognition marks data base (accompanying drawing 2).
Step 2.2, according to step 2.1 set up ore-controlling structure, containing ore deposit alaskite body, different times stratum,
The multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks such as hydrothermal alteration, utilizes physics of remote sensing
Theoretical knowledge, binding district geologic aspects, systematic analysis multiple U metallogeny key element spectrum recognition feature is formed
Mechanism, studies its Aberrant spectrum rule, provides basis for remote sensing image GEOLOGICAL INTERPRETATION.
Step 3, alaskite type U metallogeny key element atlas of remote sensing feature identification: according to step 2 set up multiple in vain
The atlas of remote sensing information recognition marks of hilllock lithotype U metallogeny key element, utilizes information recognizer (EO-1 hyperion target
Classification, Threshold segmentation, classification swarm algorithm based on morphological operator, texture information extraction etc.), it is achieved control ore deposit
U metallogeny key element remote sensing abnormal information and the backgrounds such as structure, alaskite body, different times stratum, hydrothermal alteration
Ground object target separates, thus draws a circle to approve its spatial distribution scope (accompanying drawing 3).
Step 3.1, ore-controlling structure atlas of remote sensing feature identification: utilize remote sensing image textural characteristics to strengthen and spectrum
Geochemical anomalies studying, identifies region ore-controlling structure；Processed by Hi-spatial resolution remote sensing image, accurately enclose
Determine ore-controlling structure, the spatial distribution of ore-host strata in the range of mineral deposit；
Step 3.2, alaskite body atlas of remote sensing feature identification: utilize threshold segmentation method, based on morphological operator
Classification cluster method and neighbor map speckle merge method, extract dissimilar alaskite body remote sensing abnormal feature；
Step 3.3, different times stratum atlas of remote sensing feature identification: based on different times stratum spectral matching factor mark
Will, the texture off-note formed in conjunction with its structure structure and weathering and erosion, classified by remote sensing image rock ore deposit
With linear, annular feature recognition methods, effectively delineation different times stratum spatial distribution scope；
Step 3.4, hydrothermal alteration high-spectrum remote-sensing mineral charting: determine the multiple diagnosable suction of hydrothermal alteration mineral
Receive spectral signature, utilize Spectral angle mapper or Spectral matching or neuroid sorting technique, it is achieved hydrothermal solution is lost
Become mineral high-spectrum remote-sensing charting；
Step 4, alaskite type uranium exploration ore factor remote sensing Integrated Interpretation: become in step 3 alaskite type uranium
On the basis of the key element atlas of remote sensing feature interpretation of ore deposit, based on GIS platform, remote sensing images are utilized to fold
Close, be combined and fusion scheduling algorithm, comprehensive study multiscale morphology collection of illustrative plates abnormal information space distribution rule, real
Existing alaskite type uranium exploration multiple U metallogeny key element remote sensing geology Integrated Interpretation and study area uranium formation conditions are distant
Sense geologic assessment, draws a circle to approve emphasis remote sensing abnormal concentration zones, preferably uranium preferable ore-finding area.
Enforcement to the present invention is explained in detail above, and above-mentioned embodiment is only the optimum enforcement of the present invention
Example, but the present invention is not limited to above-described embodiment, and this area leads to the Professional knowledge model that technical staff is possessed
In enclosing, it is also possible on the premise of without departing from present inventive concept, make a variety of changes according to concrete geological condition,
With satisfied actual application needs.
Claims (6)
1. an alaskite type uranium exploration ore factor atlas of remote sensing characteristic recognition method, comprises the steps:
Step 1, Multi-scale remotely sensed data pretreatment；Gather space flight, aviation and ground remote sensing data, utilize number
Data preprocess method, Inversion Calculation remotely-sensed data intrinsic parameters；
Step 2, multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks builds: according to step 1
The remotely-sensed data intrinsic parameters obtained, sets up the ore-controlling structure relevant to alaskite type U metallogeny, containing Kuang Bai hilllock
Rock mass, different times stratum, hydrothermal alteration atlas of remote sensing recognition marks, analyze its diagnosable Spectrum Formation machine
Reason, builds the data base of above-mentioned multiple alaskite type U metallogeny key element atlas of remote sensing information recognition marks；
Step 3, alaskite type U metallogeny key element atlas of remote sensing feature identification: according to step 2 set up multiple in vain
Hilllock lithotype U metallogeny key element atlas of remote sensing information recognition marks, utilizes information identifying method, it is achieved its remote sensing is different
Often information separates with background ground object target, thus draws a circle to approve its spatial distribution scope, it is achieved alaskite type U metallogeny
Key element atlas of remote sensing feature interprets；
Step 3.1, ore-controlling structure atlas of remote sensing feature identification: utilize remote sensing image textural characteristics to strengthen and spectrum
Geochemical anomalies studying, identifies region ore-controlling structure；Processed by Hi-spatial resolution remote sensing image, accurately enclose
Determine ore-controlling structure, the spatial distribution of ore-host strata in the range of mineral deposit；
Step 3.2, containing ore deposit alaskite body atlas of remote sensing feature identification: utilize threshold segmentation method, based on form
The classification cluster method of operator and neighbor map speckle merge method, extract dissimilar alaskite body remote sensing abnormal special
Levy；
Step 3.3, different times stratum atlas of remote sensing feature identification: based on different times stratum spectral matching factor mark
Will, the texture off-note formed in conjunction with its structure structure and weathering and erosion, classified by remote sensing image rock ore deposit
With linear, annular feature recognition methods, effectively delineation different times stratum spatial distribution scope；
Step 3.4, hydrothermal alteration high-spectrum remote-sensing mineral charting: determine the multiple diagnosable suction of hydrothermal alteration mineral
Receive spectral signature, utilize Spectral angle mapper, Spectral matching or neuroid sorting technique, it is achieved hydrothermal solution is lost
Become mineral high-spectrum remote-sensing charting；
Step 4, alaskite type uranium exploration ore factor remote sensing Integrated Interpretation: become in step 3 alaskite type uranium
On the basis of the key element atlas of remote sensing feature interpretation of ore deposit, ground by the multiscale morphology collection of illustrative plates abnormal information regularity of distribution
Study carefully, in conjunction with Geophysical-chemical, uranium geology Involved Multisource Geoscience Information analysis, complete the alaskite multiple uranium of type uranium exploration
Ore factor remote sensing geology Integrated Interpretation, evaluation study district alaskite type uranium formation conditions, screens and draws a circle to approve weight
Point remote sensing abnormal concentration zones, it was predicted that uranium Prospect for prospecting target area.
2. a kind of alaskite type uranium exploration ore factor atlas of remote sensing feature identification as claimed in claim 1
Method, it is characterised in that: in step 1, to the selection principle of Multi-scale remotely sensed data be high spatial resolution,
High spectral resolution and image data signal to noise ratio are high.
3. a kind of alaskite type uranium exploration ore factor atlas of remote sensing feature identification as claimed in claim 1
Method, it is characterised in that: in step 1, described space flight, aviation and ground remote sensing data are high including space flight
Spatial resolution optical remote sensing image data, space flight high-spectral data, space flight high-resolution imaging radar data,
Airborne Hyperspectral data, ground visible ray-thermal infrared imaging spectroscopic data and non-imaged spectroscopic data.
4. a kind of alaskite type uranium exploration ore factor atlas of remote sensing feature identification as claimed in claim 3
Method, it is characterised in that: in step 1: described data preprocessing method include atmospheric correction, geometric correction,
Image mosaic and image enhaucament, specific as follows:
Step 1.1, atmospheric correction utilizes atmospheric radiative transfer-EO-1 hyperion sensor-mark type spectral characteristic of ground to build
The integrated atmospheric correction method of mould, it is achieved Hyperspectral imaging reflectance intrinsic parameters Inversion Calculation；
Step 1.2, geometric correction, for Airborne Hyperspectral remote sensing image data, utilizes sensor to determine appearance location system
The three dimensional space coordinate of system offer, six orientation parameters of three-axis attitude data, calculated by geometric distortion amount,
Recover high spectrum image high accuracy geometric properties；
Step 1.3, image mosaic and image enhaucament, according to step 1.1 and step 1.2 obtain through air
High accuracy after correction and geometric correction, high-definition remote sensing image data, utilize noise cancellation method and shadow
As method for embedding, it is achieved many air strips high-spectrum remote-sensing is inlayed and strengthened with TuPu method.
5. a kind of alaskite type uranium exploration ore factor atlas of remote sensing feature identification as claimed in claim 1
Method, it is characterised in that: in step 2, described multiple alaskite type U metallogeny key element atlas of remote sensing information is known
The spectral region not indicated contains visible ray-Thermal infrared bands.
6. a kind of alaskite type uranium exploration ore factor atlas of remote sensing feature identification as claimed in claim 1
Method, it is characterised in that: in step 3 and step 4, ore-controlling structure, containing ore deposit alaskite body, hydrothermal alteration,
The ore factor remote sensing geology Integrated Interpretation on different times stratum uses layering collection of illustrative plates geochemical anomalies studying, special topic
Information overlapping and fusion and off-note focus analysis method, it is achieved alaskite type uranium formation conditions remote sensing geology
Evaluate.
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