CN205176275U - Shallow sea depth of water looks remote sensing image inverting for a long time system based on decision -making is fused - Google Patents
Shallow sea depth of water looks remote sensing image inverting for a long time system based on decision -making is fused Download PDFInfo
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- CN205176275U CN205176275U CN201520921640.6U CN201520921640U CN205176275U CN 205176275 U CN205176275 U CN 205176275U CN 201520921640 U CN201520921640 U CN 201520921640U CN 205176275 U CN205176275 U CN 205176275U
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Abstract
Shallow sea depth of water looks remote sensing image inverting for a long time system based on decision -making is fused is including preprocessor module, depth of water data processor, single time phase image processing module, looks image processing module and precision verification module for a long time, depth of water data processor includes collector and the 3rd processing unit who carries out tidal correction, single time phase image processing module is including fourth processing unit who is used for the inverting of single time phase depth of water and the 5th processing unit who carries out the cloud mask, the 2nd processing unit, the 3rd processing unit and fourth processing unit's output is connected respectively to looks image processing module three routes input for a long time, precision verification module embeds there is the comparator. This system compares with current depth of water inverting system, and its preprocessor module advances to use the remote sensing image who acquires as the data source under the condition condition such as cloudy to improve inverting precision and treatment effeciency through looks image processing module for a long time, be convenient for obtain more accurate depth of water data, be particularly useful for the regional ocean bathymetric survey of shallow water.
Description
Technical field
The utility model relates to a kind of remote-sensing inversion system, belongs to ocean water deep investigation field, particularly relates to a kind of shallow water depth multi-temporal remote sensing image Inversion System based on Decision fusion.
Background technology
Ocean depth of water DATA REASONING is the necessary basis data ensureing ship's navigation, carry out port and pier and oceanographic engineering construction, formulate seashore and island Correlative plan.Compared with depth of water in-site measurement means, remote sensing technology has the advantage that covering is wide, the cycle is short, expense is low, spatial resolution is high.Utilize different model system, in recent years, both at home and abroad in river, lake, reservoir, island and coastal zone periphery carried out Depth extraction systematic research and application.
Depth of water visible spectral remote sensing Inversion System is the favourable solution obtaining the complicated landform depth of water in shallow sea, especially can inverting obtain ship cannot near and be difficult to the water depth information entering region, be a kind of important means of bathymetric survey.The restriction of environmental baseline when the inverting of depth of water multi-temporal remote sensing can overcome single phase video imaging, be conducive to the extraction of Water Depth Information, effectively can solving the problem that depth of water precision is not high, processing procedure is comparatively complicated of Mono temporal remote sensing image detection, providing new way for improving the improvement of remote optical sensing Depth extraction precision.
Utility model content
The utility model provides a kind of shallow water depth multi-temporal remote sensing image Inversion System based on Decision fusion, for solving the problem that in prior art, Depth extraction precision is lower, compared with existing Inversion System, multi-temporal remote sensing Depth extraction system based on Decision fusion passes through pretreatment module, and then the remote sensing image obtained under can using cloudy and high sea situation situation is as data source, and improve inversion accuracy and treatment effeciency by multi-temporal image processing module, be convenient to obtain bathymetric data more accurately, be particularly useful for the marine sounding of shallow water area.
Novel object is realized in order to realize this, by the following technical solutions:
Based on the shallow water depth multi-temporal remote sensing image Inversion System of Decision fusion, comprise pretreatment module, bathymetric data processor, Mono temporal image processing module, multi-temporal image processing module and precision test module; Described pretreatment module comprises the first processing unit, the second processing unit for the conversion of remote sensing image radiance, described first processing unit input end connects video memory, its output terminal connects the input end of the second processing unit, and described second processing unit is used for atmospheric correction and solar flare removes output sea table reflectivity data; Described bathymetric data processor comprises the collector obtained for bathymetric data and the 3rd processing unit carrying out tide correction, the input end of described collector connects video memory, its output terminal connects the 3rd processing unit, and described 3rd processing unit is for exporting the water depth value after tide correction; Described Mono temporal image processing module comprises fourth processing unit and carries out the 5th processing unit of cloud mask, the input end of described 5th processing unit connects video memory, its output terminal connects the input end of fourth processing unit, and fourth processing unit is used for Mono temporal Depth extraction and exports as depth of water segment identification image; Described multi-temporal image processing module three road input end connects the output terminal of the second processing unit, the 3rd processing unit and fourth processing unit respectively, and its output terminal connects the input end of precision test module; Described precision test module is built-in with comparer, and a road input end of comparer is as the input end of precision test module, and another road input end connects actual bathymetric data reservoir.
For realizing effect of the present utility model, can also by the following technical solutions:
As above based on the shallow water depth multi-temporal remote sensing image Inversion System of Decision fusion, described multi-temporal image processing module comprises cloud and cloud shadow zone processing unit, depth of water segment identification processing unit, water depth value processing unit, pixel singular value processing unit, average relative error comparing unit, pixel intermediate value processing unit, pixel value comparing unit.
As above based on the shallow water depth multi-temporal remote sensing image Inversion System of Decision fusion, described precision test module comprises average relative error authentication unit and mean absolute error authentication unit, is respectively used to average relative error when overall and different water depth section and mean absolute error carries out precision test.
As above based on the shallow water depth multi-temporal remote sensing image Inversion System of Decision fusion, described first processing unit is radiance converter.
The beneficial effects of the utility model:
1, the utility model is compared with existing Inversion System, multi-temporal remote sensing image Depth extraction system based on Decision fusion passes through pretreatment module, and then the remote sensing image obtained under can using cloudy and high sea situation situation is as data source, and improve inversion accuracy and treatment effeciency by multi-temporal image processing module, be convenient to obtain bathymetric data more accurately, be particularly useful for the marine sounding of shallow water area.
2, pretreatment module can process multi-temporal remote sensing image, and effectively can reject error message and the Data correction of remote sensing image of many phases, and depth of water processor is by collector and the 3rd processing unit, obtain bathymetric data fast and tide correction can be carried out to water depth value, to obtain actual water depth value more accurately, and then carry out Depth extraction by Mono temporal image processing module, obtain comparatively accurate depth of water segment identification image.
3, multi-temporal image processing module is based on the reflectivity of the output of the second processing unit, the 3rd processing unit and the 3rd processing unit, actual water depth value and depth of water segment identification image, carry out logical process by multiple-unit, and then it is preferred to carry out fusion to actual water depth value.
Accompanying drawing explanation
Fig. 1 is electrical diagram of the present utility model.
Embodiment
For making the object of the utility model embodiment, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the utility model embodiment, technical scheme in the utility model embodiment is clearly and completely described, obviously, described embodiment is the utility model part embodiment, instead of whole embodiments.Based on the embodiment in the utility model, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the utility model protection.
1 pair of the utility model embodiment describes in further detail by reference to the accompanying drawings, based on the shallow water depth multi-temporal remote sensing image Inversion System of Decision fusion, comprise pretreatment module, bathymetric data processor, Mono temporal image processing module, multi-temporal image processing module and precision test module; Described pretreatment module comprises the first processing unit, the second processing unit for the conversion of remote sensing image radiance, described first processing unit input end connects video memory, its output terminal connects the input end of the second processing unit, and described second processing unit is used for atmospheric correction and solar flare removes output sea table reflectivity data; Described bathymetric data processor comprises the collector obtained for bathymetric data and the 3rd processing unit carrying out tide correction, the input end of described collector connects video memory, its output terminal connects the 3rd processing unit, and described 3rd processing unit is for exporting the water depth value after tide correction; Described Mono temporal image processing module comprises fourth processing unit and carries out the 5th processing unit of cloud mask, the input end of described 5th processing unit connects video memory, its output terminal connects the input end of fourth processing unit, fourth processing unit is used for Mono temporal Depth extraction, and it exports as depth of water segment identification image; Described multi-temporal image processing module three road input end connects the output terminal of the second processing unit, the 3rd processing unit and fourth processing unit respectively, and its output terminal connects the input end of precision test module; Described precision test module is built-in with comparer, and a road input end of comparer is as the input end of precision test module, and another road input end connects actual bathymetric data reservoir.
Wherein, video memory can be database or ROM formula storer, first to fourth processing unit can PIC16 or 18 series monolithics, multi-temporal image processing module can adopt single-chip microcomputer SPCA56 type, it not only has the controlling functions of general single-chip microcomputer, and has good pattern recognition and processing power.
Specifically, the pretreatment module of the present embodiment carries out pre-service to the multi-spectrum remote sensing image participating in Depth extraction fusion, wherein, first processing unit can adopt radiance converter that image DN value is converted into spoke brightness value, after obtaining multispectral spoke brightness image, carry out atmospheric correction through the second processing unit again, solar flare is removed, remove the interference that sea table solar flare and floating thing etc. bring, obtain sea table reflectivity data.Described bathymetric data processing module obtains actual bathymetric data by collector and the 3rd processing unit, wherein, collector can adopt multi-beam fathometer or other bathymetric survey devices, then through the 3rd processing unit, water depth value is carried out to the tide correction of corresponding image.Described Mono temporal image processing module comprise for Mono temporal Depth extraction fourth processing unit and carry out the 5th processing unit of cloud mask, the input end of described 5th processing unit connects video memory, its output terminal connects the input end of fourth processing unit, and fourth processing unit exports as depth of water segment identification image; 5th processing unit is used for, to every scape multispectral image of input, carrying out classification process and obtaining cloud mask image.Described multi-temporal image processing module is used for multidate Depth extraction and merges, and comprises cloud and cloud shadow zone processing unit, depth of water segment identification processing unit, water depth value processing unit, pixel singular value processing unit, average relative error comparing unit, pixel intermediate value processing unit, pixel value comparing unit.Described precision test module comprises average relative error authentication unit and mean absolute error authentication unit, is respectively used to average relative error when overall and different water depth section and mean absolute error carries out precision test.
The utility model is compared with existing RS Fathoming Inversion System, multi-temporal remote sensing image Depth extraction system based on Decision fusion passes through pretreatment module, and then the remote sensing image obtained under can using cloudy and high sea situation situation is as data source, and improve inversion accuracy and treatment effeciency by multi-temporal image processing module, be convenient to obtain bathymetric data more accurately, be particularly useful for the marine sounding of shallow water area.Pretreatment module can process multi-temporal remote sensing image, and effectively can reject error message and the Data correction of remote sensing image of many phases, and depth of water processor is by collector and the 3rd processing unit, obtain bathymetric data fast and tide correction can be carried out to water depth value, to obtain actual water depth value more accurately, and then carry out Depth extraction by Mono temporal image processing module, obtain comparatively accurate depth of water segment identification image.
The technology contents of the not detailed description of the utility model is known technology.
Claims (4)
1. based on the shallow water depth multi-temporal remote sensing image Inversion System of Decision fusion, it is characterized in that, comprise pretreatment module, bathymetric data processor, Mono temporal image processing module, multi-temporal image processing module and precision test module; Described pretreatment module comprises the first processing unit, the second processing unit for the conversion of remote sensing image radiance, described first processing unit input end connects video memory, its output terminal connects the input end of the second processing unit, and described second processing unit is used for atmospheric correction and solar flare removes output sea table reflectivity data; Described bathymetric data processor comprises the collector obtained for bathymetric data and the 3rd processing unit carrying out tide correction, the input end of described collector connects video memory, its output terminal connects the 3rd processing unit, and described 3rd processing unit is for exporting the water depth value after tide correction; Described Mono temporal image processing module comprises fourth processing unit and carries out the 5th processing unit of cloud mask, the input end of described 5th processing unit connects video memory, its output terminal connects the input end of fourth processing unit, and fourth processing unit is used for Mono temporal Depth extraction and exports as depth of water segment identification image; Described multi-temporal image processing module three road input end connects the output terminal of the second processing unit, the 3rd processing unit and fourth processing unit respectively, and its output terminal connects the input end of precision test module; Described precision test module is built-in with comparer, and a road input end of comparer is as the input end of precision test module, and another road input end connects actual bathymetric data reservoir.
2. the shallow water depth multi-temporal remote sensing image Inversion System based on Decision fusion according to claim 1, it is characterized in that, described multi-temporal image processing module comprises cloud and cloud shadow zone processing unit, depth of water segment identification processing unit, water depth value processing unit, pixel singular value processing unit, average relative error comparing unit, pixel intermediate value processing unit, pixel value comparing unit.
3. the shallow water depth multi-temporal remote sensing image Inversion System based on Decision fusion according to claim 1, it is characterized in that, described precision test module comprises average relative error authentication unit and mean absolute error authentication unit, is respectively used to average relative error when overall and different water depth section and mean absolute error carries out precision test.
4. the shallow water depth multi-temporal remote sensing image Inversion System based on Decision fusion according to claim 1, it is characterized in that, described first processing unit is radiance converter.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109781073A (en) * | 2018-11-12 | 2019-05-21 | 国家海洋局第二海洋研究所 | A kind of shallow water depth Remotely sensed acquisition method merging wave feature and spectral signature |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109781073A (en) * | 2018-11-12 | 2019-05-21 | 国家海洋局第二海洋研究所 | A kind of shallow water depth Remotely sensed acquisition method merging wave feature and spectral signature |
| CN109781073B (en) * | 2018-11-12 | 2020-11-20 | 国家海洋局第二海洋研究所 | Shallow sea water depth remote sensing extraction method integrating sea wave characteristics and spectral characteristics |
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