CN204832010U - High spectral image classification system - Google Patents
High spectral image classification system Download PDFInfo
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- CN204832010U CN204832010U CN201520383209.0U CN201520383209U CN204832010U CN 204832010 U CN204832010 U CN 204832010U CN 201520383209 U CN201520383209 U CN 201520383209U CN 204832010 U CN204832010 U CN 204832010U
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Abstract
The utility model relates to a high spectral image classification system, include: leading optics receiving element, beam split imaging Unit, spectral signature processing unit and imaging Unit, wherein leading optics receiving element is suitable for the pilot light of collecting the object, and after carrying out the beam split through beam split imaging Unit with the pilot light, with spectral imaging to spectral signature processing unit, spectral signature processing unit includes: a signal processing module for surveying the array ware of each monochromatic diffraction light signal, link to each other with this array ware to be used for each monochromatic diffraction light signal conversion be the corresponding signal of telecommunication to and the signal synthesis module that links to each other with this signal processing module, and this signal synthesis module links to each other with imaging Unit, the utility model discloses a high spectral image classification system realizes three kinds or two kinds of signal of telecommunication stacks that monochromatic diffraction light signal corresponds through the three analog switch that select more to form corresponding spectrum combination image, realize image classification.
Description
Technical field
The utility model relates to remote sensing fields, particularly relates to a kind of hyperspectral classification system.
Background technology
Classification hyperspectral imagery is the difficult problem in remote sensing technology field.High-spectrum remote-sensing spectrum has the high feature of resolution, its spectral resolution can reach 5-10nm, therefore, high spectrum image can detect the meticulous spectrum of atural object, realize the identification of diagnostic spectral characteristic over the ground, make not detectable spectral characteristic in broadband originally, be detected in high-spectrum remote-sensing.
Therefore, how high spectrum image is classified, improve the technical barrier that spectral matching factor ability is this area.
Utility model content
The purpose of this utility model is to provide a kind of classification hyperspectral imagery system, carries out sort merge, to improve image recognition effect with the flashlight realized gathering.
In order to solve the problems of the technologies described above, the utility model provides a kind of classification hyperspectral imagery system, comprising: preposition optical receiver unit, spectroscopic imaging unit, spectral signal processing unit and image-generating unit; Wherein said preposition optical receiver unit is suitable for the flashlight collecting object, and after flashlight being carried out light splitting by spectroscopic imaging unit, by light spectrum image-forming to spectral signal processing unit; Described spectral signal processing unit comprises: for detecting the array device of each monochromatic diffracted light signals, the signal processing module for each monochromatic diffracted light signals being converted to corresponding electric signal be connected with this array device, and the signal synthesizing module to be connected with this signal processing module, and this signal synthesizing module is connected with image-generating unit.
Further, described synthesis module comprises: three multiselect one analog switches, and the input end of each multiselect one analog switch is connected with each output terminal of signal processing module respectively, and the output terminal of each multiselect one analog switch is connected with the respective input of image-generating unit; And described signal synthesizing module also comprises processor module, three control output ends of this processor module are connected with the control input end of each multiselect one analog switch respectively.
The beneficial effects of the utility model are, classification hyperspectral imagery system of the present utility model realizes three kinds or electric signal superposition corresponding to two kinds of monochromatic diffracted light signals by three multiselect one analog switches, to form corresponding spectrum combination image, realize Images Classification.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the utility model is further illustrated.
Fig. 1 is the theory diagram of classification hyperspectral imagery system of the present utility model;
Fig. 2 is the theory diagram of spectral signal processing unit of the present utility model.
Embodiment
By reference to the accompanying drawings the utility model is described in further detail now.These accompanying drawings are the schematic diagram of simplification, only basic structure of the present utility model are described in a schematic way, and therefore it only shows the formation relevant with the utility model.
As shown in Figure 1, a kind of classification hyperspectral imagery system of the present utility model, comprising: preposition optical receiver unit, spectroscopic imaging unit, spectral signal processing unit and image-generating unit; Wherein
Described preposition optical receiver unit is suitable for the flashlight collecting object, and after flashlight being carried out light splitting by spectroscopic imaging unit, by light spectrum image-forming to spectral signal processing unit;
Described spectral signal processing unit comprises: for detecting the array device of each monochromatic diffracted light signals, the signal processing module for each monochromatic diffracted light signals being converted to corresponding electric signal be connected with this array device, and the signal synthesizing module to be connected with this signal processing module, and this signal synthesizing module is connected with image-generating unit.
Concrete, described spectroscopic imaging unit comprises: entrance slit, plane mirror, collimation-focusing subsystem, grating.Described signal processing module adopts optical target to realize, and converts light signal to electric signal by the light activated element above optical target.
Further, as shown in Figure 2, for the sake of clarity, described processor module does not draw in fig. 2.Described synthesis module comprises: three multiselect one analog switches, and the input end of each multiselect one analog switch is connected with each output terminal of signal processing module respectively, and the output terminal of each multiselect one analog switch is connected with the respective input of image-generating unit; And described signal synthesizing module also comprises processor module, three control output ends of this processor module are connected with the control input end of each multiselect one analog switch respectively.
Wherein, described processor module is such as but not limited to employing embedded chip, and this processor module is also connected with button, to input corresponding steering order.Described multiselect one analog switch adopts 8 to select an analog switch, a wherein input end grounding, and can realize electric signal superposition corresponding to any 3 kinds of monochromatic diffracted light signals when switching, or electric signal corresponding to any two kinds of monochromatic diffracted light signals superposes.
The principle of work of classification hyperspectral imagery system of the present utility model realizes three kinds or electric signal superposition corresponding to two kinds of monochromatic diffracted light signals by three multiselect one analog switches, to form corresponding spectrum combination image, realizes Images Classification.
With above-mentioned according to desirable embodiment of the present utility model for enlightenment, by above-mentioned description, relevant staff in the scope not departing from this utility model technological thought, can carry out various change and amendment completely.The technical scope of this utility model is not limited to the content on instructions, must determine its technical scope according to right.
Claims (2)
1. a classification hyperspectral imagery system, is characterized in that, comprising: preposition optical receiver unit, spectroscopic imaging unit, spectral signal processing unit and image-generating unit; Wherein
Described preposition optical receiver unit is suitable for the flashlight collecting object, and after flashlight being carried out light splitting by spectroscopic imaging unit, by light spectrum image-forming to spectral signal processing unit;
Described spectral signal processing unit comprises: for detecting the array device of each monochromatic diffracted light signals, the signal processing module for each monochromatic diffracted light signals being converted to corresponding electric signal be connected with this array device, and the signal synthesizing module to be connected with this signal processing module, and this signal synthesizing module is connected with image-generating unit.
2. classification hyperspectral imagery system as claimed in claim 1, it is characterized in that, described synthesis module comprises: three multiselect one analog switches, the input end of each multiselect one analog switch is connected with each output terminal of signal processing module respectively, and the output terminal of each multiselect one analog switch is connected with the respective input of image-generating unit; And described signal synthesizing module also comprises processor module, three control output ends of this processor module are connected with the control input end of each multiselect one analog switch respectively.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520383209.0U CN204832010U (en) | 2015-06-04 | 2015-06-04 | High spectral image classification system |
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| CN201520383209.0U CN204832010U (en) | 2015-06-04 | 2015-06-04 | High spectral image classification system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113052014A (en) * | 2021-03-09 | 2021-06-29 | 西北工业大学深圳研究院 | Hyperspectral image classification method based on double-layer space manifold representation |
| CN113609924A (en) * | 2021-07-15 | 2021-11-05 | 奥比中光科技集团股份有限公司 | Spectrum data determination method and device, terminal and storage medium |
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2015
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113052014A (en) * | 2021-03-09 | 2021-06-29 | 西北工业大学深圳研究院 | Hyperspectral image classification method based on double-layer space manifold representation |
| CN113609924A (en) * | 2021-07-15 | 2021-11-05 | 奥比中光科技集团股份有限公司 | Spectrum data determination method and device, terminal and storage medium |
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