Black and odorous water body rapid identification system and method based on remote sensing image

Abstract

A black and odorous water body rapid identification system based on a remote sensing image comprises a water system data acquisition subsystem used for acquiring water system data of a controlled water system in a target area; the remote sensing detection subsystem is used for performing remote sensing detection on the target area to obtain a plurality of remote sensing images; the water body recognition subsystem is used for generating optimization parameters based on the water system data and recognizing a water body to be judged from the remote sensing image based on the optimization parameters; and the water quality judgment subsystem is used for carrying out water quality judgment on the to-be-judged water bodies and extracting black and odorous water bodies from all the to-be-judged water bodies based on a water quality judgment result. According to the invention, the water system data of the controlled water system is acquired by using the water system data acquisition subsystem in advance, and the controlled water system is directly removed when the to-be-judged water body is recognized by using the water body recognition subsystem, so that the water quality of the to-be-judged water body is judged by using the water quality judgment subsystem; and the controlled water systems which are impossibly black and odorous water bodies do not need to be judged.

Description

Technical Field

[0001] The invention relates to the technical field of water resource management, and in particular to a system and method for quickly identifying black and odorous water bodies based on remote sensing images. Background Art

[0002] Black and smelly water bodies are a general term for water bodies that present unpleasant colors and / or emit unpleasant odors. Black and smelly water is an important target of environmental governance. In the prior art, the traditional method of identifying black and smelly water bodies is mainly manual inspection, which is very inefficient and often misses something. Later, with the rapid development of remote sensing detection technology, the use of remote sensing detection to obtain images within a certain area and then automatically identify black and smelly water bodies has become a technical trend in the identification of black and smelly water bodies. However, in the prior art, after the remote sensing image is captured, the image needs to be processed globally, and the impact on the clean natural water system will also generate a large amount of computing data and processing load, resulting in limited overall efficiency. Summary of the invention

[0003] In order to address the deficiencies in the prior art, the present invention provides a system and method for quickly identifying black and odorous water bodies based on remote sensing images. The system data of a controlled water system is acquired in advance by a water system data acquisition subsystem, and when the water body identification subsystem is used to identify the water body to be judged, the controlled water system is directly removed. Therefore, when the water quality judgment subsystem is used to judge the water body to be judged, there is no need to judge the controlled water systems that may not be black and odorous water bodies, thereby greatly reducing the load of the water quality judgment subsystem and the time consumed by the judgment process.

[0004] In order to achieve the above object, the specific scheme adopted by the present invention is: A rapid identification system for black and odorous water bodies based on remote sensing images, comprising: A water system data acquisition subsystem, used to acquire water system data of controlled water systems in a target area; The remote sensing detection subsystem is used to perform remote sensing detection on the target area and obtain multiple remote sensing images; A water body identification subsystem, used to generate optimization parameters based on the water system data, and to identify the water body to be identified from the remote sensing image based on the optimization parameters; The water quality judgment subsystem is used to judge the water quality of the water body to be judged, and extract black and smelly water bodies from all the water bodies to be judged based on the results of the water quality judgment.

[0005] Preferably, the system further comprises an associated information subsystem for determining the location of the black and odorous water body and generating associated information corresponding to the black and odorous water body.

[0006] Preferably, the water system data acquisition subsystem includes a river information acquisition module and a garden water area information acquisition module, the river information acquisition module is used to acquire river data within the target area, and the garden water area information acquisition module is used to acquire garden water area data within the target area, and the river data and the garden water area data are combined to form the water system data.

[0007] A method for quickly identifying black and odorous water bodies based on remote sensing images comprises the following steps: Acquiring the water system data in the target area using the water system data acquisition subsystem; Acquiring remote sensing images of multiple target areas using the remote sensing detection subsystem; Using the water body identification subsystem to generate the optimization parameters based on the water system data, and identifying the water body to be identified from the remote sensing image based on the optimization parameters; The water quality judgment subsystem is used to judge the water quality of the water system to be judged to obtain the black and smelly water body.

[0008] Preferably, the specific method of acquiring the water system data in the target area using the water system data acquisition subsystem includes: Using the river information acquisition module in the water system data acquisition subsystem to acquire river data in the target area; Using the garden water area information acquisition module in the water system data acquisition subsystem to acquire garden water area data in the target area; The river data and the garden water area data are integrated into the water system data.

[0009] Preferably, the specific method of using the water body identification subsystem to generate the optimization parameters based on the water system data includes: Extracting the river data and the garden water area data from the water system data; Generate a simplified area based on the geographic information in the river data and the garden water area data, and determine a reference mark in the simplified area; The optimization parameters are generated based on the reduced area and the detection height of the remote sensing detection subsystem.

[0010] Preferably, the specific method of using the water body identification subsystem to identify the water body to be identified from the remote sensing image based on the optimization parameters includes: Deleting some pixels in the remote sensing image based on the reference marker and the optimization parameter; Performing contour extraction on the remaining part of the remote sensing image to obtain multiple candidate regions; A primary color analysis is performed on the candidate areas, and some of the candidate areas are determined as the water bodies to be determined.

[0011] Preferably, the specific method of using the water quality judgment subsystem to judge the water quality of the water system to be judged includes: A secondary color analysis is performed on the water body to be judged, and based on the result of the secondary color analysis, part of the water body to be judged is determined to be the black and smelly water body.

[0012] Preferably, the specific method of performing secondary color analysis on the water body to be judged includes: Extracting all pixels in the water body to be judged and performing color gradient division; The result of the color gradient division is compared with a preset judgment reference standard to obtain the result of the secondary color analysis.

[0013] Preferably, the method further comprises the following steps: The location of the black and odorous water body is determined, and associated information corresponding to the black and odorous water body is generated.

[0014] The present invention obtains the water system data of the controlled water system by using the water system data acquisition subsystem in advance, and directly removes the controlled water system when using the water body identification subsystem to identify the water body to be judged. Therefore, when using the water quality judgment subsystem to judge the water body to be judged, there is no need to judge the controlled water systems that cannot be black and smelly water bodies, thereby greatly reducing the load of the water quality judgment subsystem and the time consumed by the judgment process, thereby greatly improving the recognition efficiency of black and smelly water bodies and achieving the purpose of rapid recognition. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural block diagram of the system of the present invention; Figure 2 It is the structural block diagram of the water system data acquisition subsystem; Figure 3 is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figures 1 to 3 , Figure 1 is a structural block diagram of the system of the present invention, Figure 2 This is the structural diagram of the water system data acquisition subsystem. Figure 3 is a flow chart of the method of the present invention.

[0019] A black and odorous water body rapid identification system based on remote sensing images comprises a water system data acquisition subsystem, a remote sensing detection subsystem, a water body identification subsystem and a water system judgment subsystem.

[0020] The water system data acquisition subsystem is used to obtain the water system data of the controlled water system in the target area.

[0021] The remote sensing detection subsystem is used to perform remote sensing detection on the target area and obtain multiple remote sensing images.

[0022] The water body identification subsystem is used to generate optimization parameters based on water system data, and identify the water body to be identified from the remote sensing image based on the optimization parameters.

[0023] The water quality judgment subsystem is used to judge the water quality of the water body to be judged, and extract the black and smelly water bodies from all the water bodies to be judged based on the results of the water quality judgment.

[0024] When the present invention is used to identify black and odorous water bodies, the water system data acquisition subsystem is first used to obtain the water system data of the controlled water system in the target area. The controlled water system includes natural water systems such as large rivers and lakes, and also artificial water systems such as artificial lakes. These controlled water systems are managed by special personnel, so the water quality is good and there is no black and odorous water body. By first obtaining the water system data of the controlled water system, this part of the water system data can be excluded during the subsequent water system identification to reduce the data processing load and data processing time, thereby improving the identification efficiency. Afterwards, the remote sensing detection subsystem is used to perform remote sensing detection on the target area to obtain multiple remote sensing images, which include at least one water system, and these water systems include the aforementioned controlled water system. Subsequently, the water body identification subsystem is used to generate optimization parameters based on the water system data. The optimization parameters are generated based on the above-mentioned controlled water system, and the water body to be judged is identified from the remote sensing image. The specific identification method is a mature existing technology in this field. For example, a recognition model based on a neural network can be used for automatic identification. In the identification process, the controlled water system is directly deleted, that is, the water body to be judged is generated based on the optimization parameters. At this time, the water body to be judged does not include the controlled water body. Next, the water quality judgment subsystem is used to judge the water quality of the water body to be judged. Because the remote sensing detection subsystem obtains remote sensing images, the specific method of water quality judgment is also based on remote sensing images. It can be judged based on factors such as the color of the corresponding part of the remote sensing image with the water body to be judged. It also belongs to the mature existing technology in this field and will not be repeated here. After the water quality judgment subsystem judges, the black and smelly water in the water body to be judged can be extracted.

[0025] The present invention obtains the water system data of the controlled water system by using the water system data acquisition subsystem in advance, and directly removes the controlled water system when using the water body identification subsystem to identify the water body to be judged. Therefore, when using the water quality judgment subsystem to judge the water body to be judged, there is no need to judge the controlled water systems that cannot be black and smelly water bodies, thereby greatly reducing the load of the water quality judgment subsystem and the time consumed by the judgment process, thereby greatly improving the recognition efficiency of black and smelly water bodies and achieving the purpose of rapid recognition.

[0026] After the black and odorous water body is identified, in order to facilitate the rapid treatment of the black and odorous water body, the system also includes an associated information subsystem for determining the location of the black and odorous water body and generating associated information corresponding to the black and odorous water body. The location of the black and odorous water body is the specific geographical location in the target area, and the associated information can be the information of the unit or individual responsible for the water resource management of the location of the black and odorous water body.

[0027] The specific structure of the water system data acquisition subsystem is as follows: the water system data acquisition subsystem includes a river information acquisition module and a garden water area information acquisition module. The river information acquisition module is used to acquire river data in the target area, and the garden water area information acquisition module is used to acquire garden water area data in the target area. The river data and the garden water area data are combined to form water system data. Because the controlled water systems are mainly some rivers or lakes with large water volume and high importance, or garden water areas such as artificial lakes built in residential areas and schools, the water system data acquisition subsystem needs to include a river information acquisition module and a garden water area information acquisition module, which are used to acquire water system data of the two types of controlled water systems respectively.

[0028] In a specific embodiment of the present invention, a black and odorous water body rapid identification system based on remote sensing images includes a water system data acquisition subsystem, a remote sensing detection subsystem, a water body identification subsystem and a water system judgment subsystem.

[0029] The water system data acquisition subsystem is used to acquire the water system data of the controlled water system in the target area. The water system data acquisition subsystem includes a river information acquisition module and a garden water area information acquisition module. The river information acquisition module is used to acquire the river data in the target area, and the garden water area information acquisition module is used to acquire the garden water area data in the target area. The river data and the garden water area data are combined to form the water system data.

[0030] The remote sensing detection subsystem is used to perform remote sensing detection on the target area to obtain multiple remote sensing images. The remote sensing detection subsystem may include multiple remote sensing detection devices, which may be satellite remote sensing devices or remote sensing devices such as drones, which are all mature existing technologies and will not be described in detail here.

[0031] The water body identification subsystem is used to generate optimization parameters based on water system data, and identify the water body to be identified from the remote sensing image based on the optimization parameters.

[0032] The water quality judgment subsystem is used to judge the water quality of the water body to be judged, and extract the black and smelly water from all the water bodies to be judged based on the results of the water quality judgment. Both the water body identification subsystem and the water quality judgment subsystem can use general-purpose computers, such as computers based on the X86 architecture or the ARM architecture. Devices with appropriate performance can be selected according to requirements. This is also a mature existing technology and will not be described in detail here.

[0033] The present invention further provides a method for quickly identifying black and odorous water bodies based on remote sensing images. Based on the above-mentioned method for quickly identifying black and odorous water bodies based on remote sensing images, the method comprises the following steps: S1: Use the water system data acquisition subsystem to acquire water system data in the target area. Specifically, the water system data acquisition subsystem is used to connect with the management unit of the existing controlled water system to acquire water system data of the controlled water system; wherein, the specific method of using the water system data acquisition subsystem to acquire water system data in the target area includes S11 to S13: S11: using the river information acquisition module in the water system data acquisition subsystem to acquire river data in the target area; S12: using the garden water area information acquisition module in the water system data acquisition subsystem to acquire garden water area data in the target area; S13: Integrate the river data and the garden water area data into water system data. In the process of integrating the water system data, the integration can be based on the location data contained in the river data and the garden water area data, or based on the management party information contained in the river data and the garden water area data; S2: Acquire remote sensing images of multiple target areas using the remote sensing detection subsystem; S3: Generate optimization parameters based on water system data using the water body identification subsystem, and identify the water body to be determined from the remote sensing image based on the optimization parameters; wherein the specific method of generating optimization parameters based on water system data using the water body identification subsystem includes S31 to S33: S31: extracting river data and garden water area data from the water system data; in S13, integrating the river data and garden water area data into water system data can facilitate data transmission and data encryption between the water system data acquisition subsystem and the water body identification subsystem, and in the water body identification subsystem, the water system data needs to be decomposed into river data and garden water area data again for data processing; S32: generating a simplified region based on the geographic information in the river data and the garden water area data, and determining a reference mark in the simplified region; the simplified region is an area that does not need to be processed in the subsequent process, and the reference mark is used to mark the simplified region in the remote sensing image; S33: Generate optimization parameters based on the simplified area and the detection height of the remote sensing detection subsystem; because the remote sensing detection subsystem detects remote sensing images, in order to clearly capture the water body in the target area, the shooting method is mainly high-altitude aerial photography, and the shooting height will directly affect the remote sensing image. In order to facilitate the processing of remote sensing images, the optimization parameters need to consider the detection height factor. When the drone is used as a remote sensing detection device, the detection height should be the height at which the drone is located when shooting. When the remote sensing satellite is used as a remote sensing detection device, it is necessary to determine a virtual detection height in combination with the zoom multiple of the remote sensing image, so as to facilitate normalization processing with the remote sensing image captured by the drone, that is, the same object in the remote sensing image captured by the drone and in the zoom result of the remote sensing image captured by the remote sensing satellite has a number of pixels and a pixel distribution method with a similarity exceeding a preset threshold; The specific method of using the water body identification subsystem to identify the water body to be identified from the remote sensing image based on the optimized parameters includes S34 to S36: S34: deleting some pixels in the remote sensing image based on the reference marker and the optimization parameter; that is, deleting some pixels corresponding to the controlled water system. To facilitate deletion, the reference marker may be set to the contour line of the controlled water system in the remote sensing image; S35: Perform contour extraction on the remaining part of the remote sensing image to obtain multiple candidate areas; because the specific conditions of the controlled water system are known, while the specific conditions of other water bodies that may be black and smelly water bodies are unknown, therefore, in S34, some pixels corresponding to the controlled water system can be directly deleted based on the reference markers, but contour extraction is still required to obtain the part containing the water body. Contour extraction of images is a mature existing technology, and the specific process will not be repeated here; S36: Perform primary color analysis on the candidate areas, and determine some of the candidate areas as water bodies to be identified; the obtained candidate areas may be water bodies or buildings, etc. Therefore, it is necessary to analyze and identify the candidate areas. Because the color of water bodies in remote sensing images is within a certain range, and is usually different from objects such as buildings or forests, some candidate areas can be identified as water bodies to be identified by color analysis, that is, when the colors of all pixels in some candidate areas are within a preset range, this candidate area is used as a water body to be identified; S4: Using the water quality judgment subsystem to judge the water quality of the water system to be judged, and obtaining black and smelly water bodies. The specific method of using the water quality judgment subsystem to judge the water quality of the water system to be judged includes: performing secondary color analysis on the water body to be judged, and determining part of the water body to be judged as black and smelly water bodies based on the results of the secondary color analysis; Among them, the specific method of performing secondary color analysis on the water body to be judged includes S41 to S42: S41: extract all pixels in the water body to be judged, and perform color gradient division. Specifically, first group all pixels whose color values ​​are within a certain interval into one group and count them, generate a histogram based on the counting results of all groups, and complete the color gradient division.

[0034] S4: Compare the result of color gradient division with the preset judgment reference standard to obtain the result of secondary color analysis. The specific method of judging whether the water body is black and smelly based on color is also a prior art in this field, which will not be repeated here.

[0035] S5: Determine the location of the black and odorous water body, and generate associated information corresponding to the black and odorous water body.

[0036] Finally, it should be noted that the present invention mainly reduces the complexity of the subsequent data processing process by predetermining the water system data of the controlled water system, thereby achieving the effect of improving efficiency and rapid identification. Technical personnel in this field can implement this application in combination with some data processing methods in the prior art they have mastered. The part belonging to the prior art has been explained in the previous text.

[0037] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0038] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A rapid identification system for black and odorous water bodies based on remote sensing images, characterized in that: include: A water system data acquisition subsystem, used to acquire water system data of controlled water systems in a target area; The remote sensing detection subsystem is used to perform remote sensing detection on the target area and obtain multiple remote sensing images; A water body identification subsystem, used to generate optimization parameters based on the water system data, and to identify the water body to be identified from the remote sensing image based on the optimization parameters; The water quality judgment subsystem is used to judge the water quality of the water body to be judged, and extract black and smelly water bodies from all the water bodies to be judged based on the results of the water quality judgment.

2. A black and odorous water rapid identification system based on remote sensing images as claimed in claim 1, characterized in that: The system also includes an associated information subsystem for determining the location of the black and odorous water body and generating associated information corresponding to the black and odorous water body.

3. The black and odorous water rapid identification system based on remote sensing images as claimed in claim 1 is characterized in that: The water system data acquisition subsystem includes a river information acquisition module and a garden water area information acquisition module. The river information acquisition module is used to acquire river data in the target area, and the garden water area information acquisition module is used to acquire garden water area data in the target area. The river data and the garden water area data are combined to form the water system data.

4. A method for quickly identifying a black and odorous water body based on a remote sensing image as claimed in any one of claims 1 to 3, characterized in that: The steps include: Acquiring the water system data in the target area using the water system data acquisition subsystem; Acquiring remote sensing images of multiple target areas using the remote sensing detection subsystem; Using the water body identification subsystem to generate the optimization parameters based on the water system data, and identifying the water body to be identified from the remote sensing image based on the optimization parameters; The water quality judgment subsystem is used to judge the water quality of the water system to be judged to obtain the black and smelly water body.

5. A method for rapid identification of black and odorous water bodies based on remote sensing images as claimed in claim 4, characterized in that: The specific method of using the water system data acquisition subsystem to acquire the water system data in the target area includes: Using the river information acquisition module in the water system data acquisition subsystem to acquire river data in the target area; Using the garden water area information acquisition module in the water system data acquisition subsystem to acquire garden water area data in the target area; The river data and the garden water area data are integrated into the water system data.

6. A method for rapid identification of black and odorous water bodies based on remote sensing images as claimed in claim 5, characterized in that: The specific method of using the water body identification subsystem to generate the optimization parameters based on the water system data includes: Extracting the river data and the garden water area data from the water system data; Generate a simplified area based on the geographic information in the river data and the garden water area data, and determine a reference mark in the simplified area; The optimization parameters are generated based on the reduced area and the detection height of the remote sensing detection subsystem.

7. A method for rapid identification of black and odorous water bodies based on remote sensing images as claimed in claim 6, characterized in that: The specific method of using the water body identification subsystem to identify the water body to be identified from the remote sensing image based on the optimization parameters includes: Deleting some pixels in the remote sensing image based on the reference marker and the optimization parameter; Performing contour extraction on the remaining part of the remote sensing image to obtain multiple candidate regions; A primary color analysis is performed on the candidate areas, and some of the candidate areas are determined as the water bodies to be determined.

8. A method for rapid identification of black and odorous water bodies based on remote sensing images as claimed in claim 7, characterized in that: The specific method of using the water quality judgment subsystem to judge the water quality of the water system to be judged includes: A secondary color analysis is performed on the water body to be judged, and based on the result of the secondary color analysis, part of the water body to be judged is determined to be the black and smelly water body.

9. A method for rapid identification of black and odorous water bodies based on remote sensing images as claimed in claim 8, characterized in that: The specific method of performing secondary color analysis on the water body to be judged includes: Extracting all pixels in the water body to be judged and performing color gradient division; The result of the color gradient division is compared with a preset judgment reference standard to obtain the result of the secondary color analysis.

10. The method for rapid identification of black and odorous water bodies based on remote sensing images according to claim 4, characterized in that: The following steps are also included: The location of the black and odorous water body is determined, and associated information corresponding to the black and odorous water body is generated.

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