Water surface signal detection system based on hyperspectrum

Abstract

The utility model discloses a water surface signal detection system based on hyperspectrum, and relates to the technical field of environment monitoring and remote sensing, the system comprises a hyperspectral imager, an adjusting device, a light filtering assembly and an upper computer, the adjusting device comprises a supporting frame, an arc-shaped scale sliding rail and a sliding assembly, the arc-shaped scale sliding rail is fixed at the top end of the supporting frame, and the sliding assembly is fixed at the top end of the supporting frame; the ends of the two sides of the arc-shaped scale sliding rail are vertically arranged downwards, the sliding assembly is connected with the arc-shaped scale sliding rail in a sliding mode, the hyperspectral imager is installed on the sliding assembly, and a lens of the hyperspectral imager is aligned with a detection area under the arc-shaped scale sliding rail. The adjusting device is used for adjusting the shooting visual angle of the hyperspectral imager by moving the position of the sliding assembly, the light filtering assembly is arranged at the front end of a lens of the hyperspectral imager, and the hyperspectral imager is in communication connection with the upper computer; according to the technical scheme, multi-view and multi-dimension detection of the target sample can be realized, the influence of interference light on the image is reduced, and the richness and availability of detected data are improved.

Description

Technical Field

[0001] The utility model relates to the technical fields of environmental monitoring and remote sensing technology. Specifically, it relates to a water surface signal detection system based on hyperspectral. Background Art

[0002] Inland river basins are important transportation channels for oil, crude oil, and various refined oils. When tankers, cargo ships, and pipelines transport oil products, the risk of oil spills due to accidents always exists. Natural disasters such as typhoons, earthquakes, and floods may also damage oil facilities, resulting in oil spills. Data such as the spatial distribution of oil spills, the amount of spilled oil, and the composition of spilled oil are important bases for oil spill cleanup and source tracing penalties; it is necessary to detect the water quality of polluted areas in inland river basins before conducting oil spill pollution disposal.

[0003] Currently, optical remote sensing technology is an important means for oil spill detection and is most widely used in oil spill detection in inland river basins. However, most of the existing detections are carried out based on data in a single dimension such as spectrum, polarization, or infrared. For example, an unmanned aerial vehicle (UAV)-borne spectral camera is used to take large-area pictures of the oil spill situation in the target area from a vertical perspective, or a spectrometer is used to detect the sewage extracted from the polluted area from a single perspective in the laboratory. In outdoor detection, due to the fact that the water surface of the sewage to be detected will produce flares under the illumination of natural light and irregular wave patterns will also appear under the action of gas flow, these phenomena will affect the contrast and clarity of the collected images and interfere with the extraction of effective information. Especially for data collection in a single dimension or a single angle, the recognition accuracy cannot better meet the requirements of precise detection applications. When detecting in the laboratory, due to the uneven distribution of components in the oil film, there will also be certain deviations in the data collected from a single angle. When solving these problems, the observation time is often adjusted, choosing a time period with less intense light for observation, avoiding the angle of direct light, or enhancing the post-processing of the image to reduce the impact of flares on the image and improve the usability of the image. Or increasing the number of sampling points to improve the detection accuracy, etc. However, these means have too many limiting conditions when operating, will lose a part of the data, and enhancing the post-processing of the image can only increase the accuracy under the condition of limited data and cannot improve the richness of the data. Content of the Utility Model

[0004] The object of the present utility model is to provide a system for detecting the thickness and composition of an oil layer by irradiating a sample with different light sources in a laboratory environment, to solve the problems in the prior art that the image contrast and clarity are not high due to the water surface reflection problem, which interferes with the extraction of effective information, there is a time period limit when collecting images, and it is not easy to adjust the shooting angle of the existing device. An instrument support that can conveniently and accurately adjust the observation angle of a spectral camera is provided, and a component for reducing the interference of water surface flares is added, so as to realize multi-angle and multi-dimensional detection of the water body in the polluted area, and avoid the problem of excessive limiting conditions for collecting images caused by the influence of water surface reflection, so as to improve the data richness of detection.

[0005] The technical solution of the present utility model is: a water surface signal detection system based on hyperspectral is provided, and the detection system includes: a hyperspectral imager, an adjustment device, a filter component and a host computer;

[0006] The adjustment device includes a support frame, an arc-shaped scale slide rail and a sliding component. The arc-shaped scale slide rail is fixed at the top of the support frame, and the ends on both sides of the arc-shaped scale slide rail are vertically downward. The sliding component is slidably connected to the arc-shaped scale slide rail. The hyperspectral imager is installed on the sliding component, and the lens of the hyperspectral imager is aligned with the detection area directly below the arc-shaped scale slide rail. The detection area is used to place the target sample. The adjustment device is used to adjust the shooting angle of the hyperspectral imager by moving the position of the sliding component. The filter component is arranged at the front end of the lens of the hyperspectral imager, and the hyperspectral imager is communicatively connected to the host computer.

[0007] Further, angle scales are arranged on the surface of the arc-shaped scale slide rail, and the scale range is from 45° to 135°. Among them, the 90° scale is arranged at the middle position of the arc-shaped scale slide rail.

[0008] Further, the sliding component includes a first mounting frame and a second mounting frame;

[0009] One end of the first mounting frame is provided with a groove, and the other end is provided with a receiving groove for receiving the second mounting frame. The groove end of the first mounting frame is slidably connected to the arc-shaped scale slide rail. A threaded hole for installing a locking bolt is arranged at the top of the groove end. A scale window is arranged on the side wall of the groove end for reading the angle scale. The receiving groove end of the first mounting frame is hinged to the second mounting frame.

[0010] Further, the maximum angle for the second mounting frame to rotate to one side after being pulled out is 90°.

[0011] Further, the support frame includes legs and a placement table. The top of the legs is fixedly connected to the arc-shaped scale slide rail, and the bottom end is fixedly connected to the placement table. The central position of the placement table is the detection area, and the arc-shaped scale slide rail is located directly above the detection area. Casters are arranged below the placement table.

[0012] Furthermore, the hyperspectral imager is mounted on the first mounting bracket. The water surface signal detection system based on hyperspectral also includes an auxiliary photographing device, which is mounted on the second mounting bracket.

[0013] Furthermore, the lens of the auxiliary photographing device faces the direction where the first mounting bracket and the second mounting bracket are connected, and its optical axis perpendicularly intersects with the optical axis of the hyperspectral imager. The auxiliary photographing device is used to collect images of the target sample simultaneously with the hyperspectral imager.

[0014] Furthermore, the water surface signal detection system based on hyperspectral also includes a beam splitter, which is mounted on the first mounting bracket and is located at the intersection of the optical axes of the hyperspectral imager and the auxiliary photographing device. The beam splitter is used to enable the hyperspectral imager and the auxiliary photographing device to synchronously collect images of the target sample at the same shooting angle.

[0015] Furthermore, the filter assembly includes a light shield and a filter. The light shield is mounted on the lens of the hyperspectral imager, and the filter is mounted on the light collection path of the hyperspectral imager.

[0016] The beneficial effects of the present utility model are as follows:

[0017] First, through the technical solution in the present utility model, when conducting a sample detection experiment in the laboratory, the hyperspectral imager can be set on the adjusting device. By moving the position of the sliding component according to the scale on the arc-shaped scale slide rail, the precise adjustment of the shooting angle of the hyperspectral imager can be realized. During the adjustment of the shooting angle, the lens of the hyperspectral imager always aims at the detection area directly below the arc-shaped scale slide rail. Compared with the situation in the prior art where data is collected at a vertical angle by holding it by hand or using a bracket that cannot adjust the angle, the technical solution in the present utility model can flexibly and precisely adjust the shooting angle, which helps to realize multi-angle data collection of the target sample, improve the richness and reliability of the collected data, meet the conditions for conducting sample experiments in the laboratory, and is simple to operate and easy to implement. The technical solution in the present utility model can also be used for outdoor experiments. A filter assembly is provided in front of the lens of the hyperspectral imager, which can reduce the influence of flare and direct natural light on the image and improve the usability of the image.

[0018] Second, in the preferred implementation manner of the present utility model, a second mounting bracket for mounting other auxiliary photographing devices is also provided on the sliding component, and a beam splitter is provided at the intersection of the optical axes of the two acquisition devices. It can simultaneously collect data of the target sample using other auxiliary photographing devices while using the hyperspectral imager to collect the hyperspectral image of the target sample, so as to collect data from multiple dimensions simultaneously, improve the richness of the data, and facilitate the integration and analysis of the data in the later stage. Description of the Drawings

[0019] The advantages of the above and / or additional aspects of the present utility model will become apparent and be readily understood in the description of the embodiments in conjunction with the following drawings, where:

[0020] Figure 1 is a schematic diagram of the overall structure of a water surface signal detection system based on hyperspectral according to an embodiment of the present utility model;

[0021] Figure 2 is a front view of an adjusting device according to an embodiment of the present utility model;

[0022] Figure 3 is a side view of an adjusting device according to an embodiment of the present utility model;

[0023] Figure 4 is a schematic diagram of the structure of a sliding component according to an embodiment of the present utility model;

[0024] Figure 5 is a schematic diagram of the structure of a first mounting bracket according to an embodiment of the present utility model;

[0025] Figure 6 is a schematic diagram of the structure of a second mounting bracket according to an embodiment of the present utility model;

[0026] Figure 7 is an optical path diagram of splitting light by a beam splitter when collecting images using a hyperspectral imager and an auxiliary photographing device according to an embodiment of the present utility model;

[0027] Figure 8 is a cross-sectional view of the connection position between an arc-shaped scale slide rail and a first mounting bracket according to an embodiment of the present utility model;

[0028] Among them, 1 - hyperspectral imager, 2 - adjusting device, 21 - support frame, 211 - leg, 212 - placement table, 213 - caster, 22 - arc-shaped scale slide rail, 23 - sliding component, 231 - first mounting bracket, 232 - second mounting bracket, 3 - filter component, 4 - auxiliary photographing device, 5 - beam splitter. Detailed implementation manners

[0029] In order to be able to more clearly understand the above objects, features and advantages of the present utility model, the present utility model will be further described in detail below in conjunction with the drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present utility model and the features in the embodiments may be combined with each other.

[0030] In the following description, many specific details are set forth in order to fully understand the present utility model. However, the present utility model may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present utility model is not limited by the specific embodiments disclosed below.

[0031] As Figures 1 to 3 shown, this embodiment provides a water surface signal detection system based on hyperspectral, which is used to detect sewage in the inland river basin. The detection system includes a hyperspectral imager 1, an adjustment device 2, a filter component 3, and a host computer.

[0032] The adjustment device 2 includes a support frame 21, an arc-shaped scale slide rail 22, and a sliding component 23. The arc-shaped scale slide rail 22 is fixed to the top of the support frame 21, and the ends on both sides of the arc-shaped scale slide rail 22 are vertically downward. The sliding component 23 is slidably connected to the arc-shaped scale slide rail 22. The hyperspectral imager 1 is installed on the sliding component 23, and the lens of the hyperspectral imager 1 is aligned with the detection area directly below the arc-shaped scale slide rail 22. This detection area is used to place the target sample. The hyperspectral imager 1 is communicatively connected to the host computer and uploads the collected images to the host computer.

[0033] The adjustment device 2 is used to install the hyperspectral imager 1 and the auxiliary shooting device, and is also used to precisely adjust the shooting angle of the shooting device by moving the position of the sliding component 23 according to the scale on the arc-shaped scale slide rail 22.

[0034] As shown in the figure, the support frame 21 includes legs 211, a placement table 212, and casters 213. The top of the legs 211 is fixedly connected to the arc-shaped scale slide rail 22, and the bottom end is fixedly connected to the placement table 212. The central position of the placement table 212 is the detection area for placing the target sample. The arc-shaped scale slide rail 22 is located directly above the detection area. Among them, the central axis of the arc-shaped scale slide rail 22 (the straight line passing through the center point of the arc of the arc-shaped scale slide rail 22, and the left and right sides of the arc-shaped scale slide rail 22 are symmetric about this straight line) is perpendicular to the center of the detection area; the casters 213 are arranged below the placement table 212 for facilitating the overall movement of the adjustment device 2.

[0035] The ends of both sides of the arc-shaped scale slide rail 22 are set vertically downward, and the middle arc-shaped part is set vertically upward. The hyperspectral imager 1 is installed on the sliding assembly 23, and its lens faces the direction of the detection area. Since the arc-shaped scale slide rail 22 is semi-circular, during the process of the sliding assembly 23 sliding along the arc-shaped scale slide rail 22, the lens of the hyperspectral imager 1 always faces the detection area. In this way, it can not only ensure that the hyperspectral imager 1 accurately captures the image of the target sample in the detection area, but also adjust the shooting angle of the hyperspectral imager 1 by moving the sliding assembly 23. Raised parts are provided at the edges of both ends of the arc-shaped scale slide rail 22, and these raised parts are used to prevent the sliding assembly 23 from detaching from the arc-shaped scale slide rail 22. Angle scales are set on the surface of the arc-shaped scale slide rail 22, and the scale range is from 45° to 135°. Among them, the 90° scale is set at the middle position of the arc-shaped scale slide rail 22. When the sliding assembly 23 slides to the 90° scale, the shooting angle of the hyperspectral imager 1 is 90°.

[0036] As Figures 4 to 6 shown, the sliding assembly 23 includes a first mounting bracket 231 and a second mounting bracket 232. The first mounting bracket 231 is used to mount the hyperspectral imager 1, and the second mounting bracket 232 is used to mount the auxiliary shooting device. One end of the first mounting bracket 231 is provided with a groove for connecting with the arc-shaped scale slide rail 22, and the other end is provided with a receiving groove for receiving the second mounting bracket 232. As Figure 8 shown, the shape of this groove matches the shape of the outer wall of the arc-shaped scale slide rail 22. The first mounting bracket 231 is slidably connected to the arc-shaped scale slide rail 22 through the groove end. A threaded hole for installing a locking bolt is provided on the top of the groove end of the first mounting bracket 231 (that is, the position of the end face of the top of the groove end). After the position of the sliding assembly 23 is determined, the sliding assembly 23 is locked by the locking bolt; a scale window is also provided on the side wall of this groove end (that is, the wall of a surface of the first mounting bracket 231 away from the leg 211), and this scale window is used to expose the scale so that the scale can be clearly seen during the process of moving the first mounting bracket 231; the receiving groove end of the first mounting bracket 231 is hinged to the second mounting bracket 232 through a bolt. The maximum angle for the second mounting bracket 232 to rotate to one side after being pulled out is 90°, that is, it is perpendicular to the first mounting bracket 231 after rotating to the maximum angle; when using the second mounting bracket 232, loosen the bolt, pull out the second mounting bracket 232 from the receiving groove and tighten the bolt. After use, loosen the bolt again, push the second mounting bracket 232 back into the receiving groove and tighten the bolt again.

[0037] The filter component 3 is arranged at the front end of the lens of the hyperspectral imager 1, and is used to reduce or eliminate the influence of water surface flare on the acquired image, prevent overexposure, and improve the detection accuracy. The filter component 3 includes a light-shielding cover 31 and a filter 32. The light-shielding cover 31 is installed on the lens of the hyperspectral imager 1 to reduce the light directly incident on the lens and reduce the flare effect; the filter 32 is installed on the light collection path of the hyperspectral imager 1. The filter 32 can be one or more filters, such as one or more of a polarization filter, a neutral density filter, and a spectral filter. Setting a polarization filter can significantly reduce the intensity of the reflected light, thereby improving the image quality. Setting a neutral density filter can reduce the amount of incident light, thereby reducing the overexposure phenomenon. Setting a spectral filter can screen out light of a specific wavelength, reduce the influence of unnecessary bands, and enhance the detection effect.

[0038] The water surface signal detection system based on hyperspectral also includes an auxiliary photographing device 4 and a beam splitter 5. The auxiliary photographing device 4 is installed on the second mounting bracket 232. The lens of the auxiliary photographing device 4 faces the direction where the first mounting bracket 231 and the second mounting bracket 232 are connected, and its optical axis is perpendicular to and intersects with the optical axis of the hyperspectral imager 1. The auxiliary photographing device 4 is used to collect images of the target sample simultaneously with the hyperspectral imager 1 to provide data for later image fusion calculation; the beam splitter 5 is installed on the first mounting bracket 231 and is located at the intersection of the optical axes of the hyperspectral imager 1 and the auxiliary photographing device 4. The beam splitter 5 is used to realize the synchronous acquisition of images of the target sample by the hyperspectral imager 1 and the auxiliary photographing device 4 at the same shooting angle. That is, when the hyperspectral imager 1 and the auxiliary photographing device 4 collect images simultaneously, the incident light on the light collection path of the hyperspectral imager 1 is split and guided to the auxiliary photographing device 4, so as to achieve the purpose of simultaneously collecting images by the hyperspectral imager 1 and the auxiliary photographing device 4 under the same shooting angle. In order to fuse the hyperspectral image and the image of the auxiliary photographing device 4 during later processing to improve the accuracy and richness of the image. In this embodiment, the image can be collected by using the hyperspectral imager 1 alone, or by using the hyperspectral imager 1 and the auxiliary photographing device 4 simultaneously. Among them, the auxiliary photographing device 4 can select other photographing devices other than the hyperspectral imager 1, such as a high-resolution RGB (red, green, blue) camera.

[0039] In this embodiment, the auxiliary photographing device 4 and the beam splitter 5 are mainly used for sample detection in a laboratory environment. A light beam (the light beam can be a parallel light beam or other non-parallel light beams) can be used to irradiate the target sample. After the reflected light of the target sample passes through the beam splitter 5, it is split into two mutually perpendicular light beams. The two mutually perpendicular light beams enter the hyperspectral imager 1 and the auxiliary photographing device 4 respectively. The optical path diagram of this process is as Figure 7 shown.

[0040] The host computer is used to receive the images uploaded by the hyperspectral imager 1 and the auxiliary photographing device, and process and analyze these images through a software platform.

[0041] The hyperspectral imager 1 is used to collect hyperspectral images of the target sample. The hyperspectral imager 1 includes a hyperspectral sensor, an optical system (an overall composed of components such as lenses and filters), a data processing unit, a storage unit, and a display device. Among them, the optical system is used to collect the light within the entire target area scene and focus it on the hyperspectral sensor; the hyperspectral sensor is used to obtain the hyperspectral data within the entire target area scene through the optical system; the data processing unit is used to perform operations such as feature extraction and classification on the original hyperspectral data, and finally convert it into a hyperspectral image; the storage unit is used to store the internal data of the instrument; the display device is used to display the hyperspectral image. In this embodiment, the hyperspectral imager is a conventional device in the art and will not be elaborated here.

[0042] In this embodiment, a push-broom imaging spectrometer or a whisk-broom imaging spectrometer can be selected, and appropriate bands can be selected according to the target sample to be detected. For example, for water quality analysis and oil pollution detection, a 0.4 - 1.7um visible near-infrared short-wave infrared hyperspectral imager or a 400 - 1000nm visible near-infrared hyperspectral imager can be selected.

[0043] The water surface signal detection system based on hyperspectral in this application is mainly a detection system designed for detecting the oil layer thickness and composition by irradiating the sample with different light sources in a laboratory environment. It can be used in the laboratory or in the outdoor environment. When used in the laboratory, various light sources in the laboratory can be selected, such as a broadband light source (halogen lamp,), xenon lamp, laser light source (laser with a specific wavelength), monochromatic light source (LED light source), fluorescent light source, ultraviolet light source, etc. When used outdoors, natural light is used. In the case of no auxiliary photographing device 4 and spectrometer 5, only the hyperspectral imager 1 is used to collect data of the target sample from multiple angles.

[0044] Taking the acquisition of image data of sewage samples in a laboratory environment as an example in this embodiment, the working principle of the water surface signal detection system based on hyperspectral is as follows:

[0045] Collect sewage samples from the polluted areas to be detected in the inland river. Use a sample cell to hold the target samples to be detected. Place the adjusting device 2 outdoors, and place the sample cell in the detection area at the central position of the placement table 212. Install the hyperspectral imager 1 on the first mounting bracket 231 so that its lens is aligned with the sewage sample. Install the filter component 3 in front of the lens of the hyperspectral imager 1. Pull out the second mounting bracket 232 so that the angle between it and the first mounting bracket 231 is 90°. Install the auxiliary shooting device 4 on the second mounting bracket 232 so that its optical axis is perpendicular to and intersects with the optical axis of the hyperspectral imager 1. Install the beam splitter 5 at the intersection of the optical axes of the hyperspectral imager 1 and the auxiliary shooting device 4. Adjust the position of the beam splitter 5 so that it can split the light on the acquisition optical path of the hyperspectral imager 1 and guide it to the auxiliary shooting device 4. Connect the hyperspectral imager 1 and the auxiliary shooting device 4 to the host computer respectively.

[0046] Adjust the sliding component 23 to the corresponding angle scale according to the predetermined shooting angle, such as adjusting to 60°, 90°, 120° in sequence and taking pictures in sequence. When taking pictures, use the host computer to send acquisition signals to the hyperspectral imager 1 and the auxiliary shooting device 4. Use a laboratory light source to irradiate the sewage sample. The laboratory light source can be selected from halogen lamps, lasers with specific wavelengths, LED light sources, fluorescent light sources, etc. After the partial reflected light on the water surface of the sewage sample is split by the beam splitter 5, it is incident on the hyperspectral imager 1 and the auxiliary shooting device 4 respectively. The hyperspectral imager 1 and the auxiliary shooting device 4 respectively process the water surface signals and generate images. After each shooting is completed, the hyperspectral imager 1 and the auxiliary shooting device 4 send the acquired images to the host computer, and these images are used for subsequent processing and analysis. After completing the image acquisition, disassemble the hyperspectral imager 1 and the auxiliary shooting device 4, retract the second mounting bracket 232 into the storage slot of the first mounting bracket 231, and perform harmless treatment on the sewage sample.

[0047] In the present utility model, terms such as "install", "connect", "join", "fix" and the like should be understood in a broad sense. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "join" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present utility model can be understood according to specific circumstances.

[0048] The shapes of the various components in the drawings are schematic, and there is no exclusion of a certain difference from their actual shapes. The drawings are only used to illustrate the principle of the present utility model and are not intended to limit the present utility model.

[0049] Although the present utility model has been disclosed in detail with reference to the accompanying drawings, it should be understood that these descriptions are merely exemplary and are not intended to limit the application of the present utility model. The protection scope of the present utility model is defined by the appended claims and may include various variations, modifications and equivalent solutions made to the utility model without departing from the protection scope and spirit of the present utility model.

Claims

1. A water surface signal detection system based on hyperspectral, characterized in that: The water surface signal detection system based on hyperspectral comprises: a hyperspectral imager (1), an adjustment device (2), a filter component (3) and a host computer; The adjusting device (2) comprises a support frame (21), an arc-shaped scale slide rail (22) and a sliding assembly (23); the arc-shaped scale slide rail (22) is fixed to the top of the support frame (21); the ends of the arc-shaped scale slide rail (22) are arranged vertically downward; the sliding assembly (23) is slidably connected to the arc-shaped scale slide rail (22); the hyperspectral imager (1) is mounted on the sliding assembly (23); the lens of the hyperspectral imager (1) is aligned with a detection area directly below the arc-shaped scale slide rail (22); the detection area is used to place a target sample; the adjusting device (2) is used to adjust the shooting angle of the hyperspectral imager (1) by moving the position of the sliding assembly (23); the filter assembly (3) is arranged at the front end of the lens of the hyperspectral imager (1); and the hyperspectral imager (1) is communicatively connected to the host computer.

2. The water surface signal detection system based on hyperspectral according to claim 1, characterized in that: An angle scale is arranged on the surface of the arc-shaped scale slide rail (22), and the scale range is from 45° to 135°, wherein the 90° scale is arranged at the middle position of the arc-shaped scale slide rail (22).

3. The water surface signal detection system based on hyperspectral according to claim 2, characterized in that: The sliding assembly (23) comprises a first mounting frame (231) and a second mounting frame (232); A groove is provided at one end of the first mounting frame (231), and a receiving groove for receiving the second mounting frame (232) is provided at the other end; the groove end of the first mounting frame (231) is slidably connected to the arc-shaped scale slide rail (22); a threaded hole for installing a locking bolt is provided at the top of the groove end; a scale window is provided on the side wall of the groove end for reading the angle scale; and the receiving groove end of the first mounting frame (231) is hinged to the second mounting frame (232).

4. The water surface signal detection system based on hyperspectral according to claim 3, characterized in that: After the second mounting frame (232) is pulled out, the maximum angle at which it can rotate to one side is 90°.

5. The water surface signal detection system based on hyperspectral according to claim 1, characterized in that: The support frame (21) comprises a support leg (211), a storage platform (212) and a caster (213); the top end of the support leg (211) is fixedly connected to the arc-shaped scale slide rail (22), and the lower end is fixedly connected to the storage platform (212); the central position of the storage platform (212) is a detection area, the arc-shaped scale slide rail (22) is located directly above the detection area, and the caster (213) is arranged below the storage platform (212).

6. The water surface signal detection system based on hyperspectral according to claim 4, characterized in that: The hyperspectral imager (1) is mounted on a first mounting frame (231), and the hyperspectral-based water surface signal detection system further comprises an auxiliary shooting device (4), wherein the auxiliary shooting device (4) is mounted on a second mounting frame (232).

7. The water surface signal detection system based on hyperspectral according to claim 6, characterized in that: The lens of the auxiliary shooting device (4) faces the direction in which the first mounting frame (231) and the second mounting frame (232) are connected, and its optical axis intersects perpendicularly with the optical axis of the hyperspectral imager (1). The auxiliary shooting device (4) is used to collect images of the target sample simultaneously with the hyperspectral imager (1).

8. The water surface signal detection system based on hyperspectral according to claim 7, characterized in that: The water surface signal detection system based on hyperspectral imaging further comprises a spectrometer (5), wherein the spectrometer (5) is mounted on a first mounting frame (231) and is located at the intersection of the optical axes of the hyperspectral imaging device (1) and the auxiliary shooting device (4), and the spectrometer (5) is used to enable the hyperspectral imaging device (1) and the auxiliary shooting device (4) to synchronously acquire a target sample image at the same shooting angle of view.

9. The water surface signal detection system based on hyperspectral according to claim 1, characterized in that: The filter assembly (3) comprises a light shield (31) and a filter (32); the light shield (31) is mounted on the lens of the hyperspectral imager (1); and the filter (32) is mounted on the collection light path of the hyperspectral imager (1).

Images