System and method for synchronous acquisition of a hyperspectral image, digital images and radiometric spectra of a glazed building.
Patent Information
- Application Number
- FR2022012513
- Authority / Receiving Office
- FR · FR
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-11-29
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2042-11-29
Smart Images

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Abstract
Description
Title of the invention: System and method for synchronous acquisition of a hyperspectral image, digital images and radiometric spectra of a glazed building. Technical field
[0001] The invention relates to a method and a system for synchronous acquisition of a hyperspectral image of a landscape surrounding a glazed building or an automobile, on the one hand, and of digital images and radiometric spectra of the interior of said glazed building of said automobile, on the other hand. Technical background
[0002] In various industrial fields, recent advances in computer-aided simulation make it possible to create realistic virtual previews of articles even before they are manufactured or renovated. These previews can provide decision-making assistance when choosing between different articles under consideration depending on whether or not they meet certain technical and / or aesthetic requirements.
[0003] There is, nowadays, a strong and ever-increasing demand from customers to provide them with realistic predictions of future results of complex renovation operations on which they can confidently base their decision to start or continue these operations.
[0004] For example, in the automotive and construction industries, it is now common practice to use simulation tools, such as physico-realistic rendering or ray tracing methods, in order to generate three-dimensional scenes as anticipatory digital representations of physical and / or functional characteristics of a motor vehicle or a building. In these digital representations, the objects represented, for example all or part of a vehicle or a building, evolve in an environment or a landscape whose digital simulation can be carried out using an environment map projected as a texture on the surface of a geometric object, such as a sphere, a cube or a half-sphere, used as a support for a virtual sky, and / or projected onto the reflective surfaces of certain elements or objects of the simulated three-dimensional scene.
[0005] The images used to generate the environment map may be manually or computer-designed drawings or graphics, or real-world photographs acquired using a photographic device. In the latter case, the environment maps may be acquired using a panoramic photographic device that is adapted for acquiring a complete landscape, including the sky, at a solid angle defined vertically by an angle of 180° from the zenith to the horizon, and horizontally through an angle of 360° to the horizon. Examples of such devices are 360° rotating photographic devices, photographic devices with a "wide-angle" lens or photographic devices with a hypergone lens ("fisheye" in English).
[0006] CN 207442995 U, SHENZHEN REAL SCENE TECH CO LTD [CN] 01.06.2018 discloses a hybrid panoramic imaging system comprising several conventional cameras and a hypergon lens camera. The conventional cameras are oriented in a direction perpendicular to the astronomical zenith. The hypergon lens camera is oriented along the astronomical zenith axis.
[0007] JP 2007028272 A, DOMUS INTERNAT LTD [JP] 01.02.2007 describes a panoramic imaging system comprising a camera equipped with a CCD photographic sensor and a hypergon lens. The camera is mounted on a rotating movable stage and is oriented in a direction perpendicular to the astronomical zenith direction. Opposite the hypergon lens is arranged an occulting diaphragm equipped with a vertical slit so that the camera acquires images along a vertical arc of 180° from the zenith to the horizon. A complete panoramic photograph is reconstructed by assembling all the vertical images acquired during the rotation of the rotating movable stage.
[0008] Due to the transparent and reflective nature of glazing, such as that used in building facades, simulating realistic representations of glazed buildings in a real environment can be particularly difficult. The way in which the sky and other elements of a landscape are reflected on the glazed surfaces of a building depends on the external lighting conditions. The external appearance of the building can vary considerably depending on the time of day and weather conditions, for example whether the day is mostly cloudy, rainy or sunny.
[0009] US 2004012542 Al, BOWSHER et al. [US] 22.01.2004 describes a system for rendering images of a building, in which various color scales are available for rendering colors from an image of said building provided as input data.
[0010] US 10217242 Bl, CERTAIN TEED CORP [US] 26.02.2019 describes a system and method for rendering images of a building, in which the colors and brightness of each material of the building are adjusted using a series of manual adjustment steps until they conform to those of a calibrated color photograph.
[0011] Jan Meseth et al., 'Verification of rendering quality from measured BTFs', ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, 2006, pp. 127-134, describes a method for examining the degree of realism of simulated images of an automobile interior using bidirectional texture functions (BTFs) by comparing the overall light distribution between said simulated images and photographs of the same interior.
[0012] WO 2022135942 Al, SAINT GOBAIN [FR], 06 / 30 / 2022 describes a method for evaluating the quality of a simulation by physico-realistic rendering of a glazed building or an automobile. A hemispherical hyperspectral image of a real sky under given external light conditions and an image of a glazed object are acquired synchronously and subjected to digital processing in a physico-realistic rendering engine in order to evaluate the color differences of the glazed elements between the two images. Summary of the invention Technical problem
[0013] In addition to simulating the external envelope of a glazed building or an automobile, there is also a need to simulate their interior environment. Just like glass facades, simulating realistic representations of these interior environments remains a challenge but for different reasons.
[0014] While the external appearance of a glazed room may vary depending on how the sky and other landscape features are reflected on the glazing depending on the external brightness and / or weather conditions, the appearance of the interior environment may vary depending on how light is transmitted through the glazing and, possibly, on multiple reflections and / or transmissions between the glazings as the light travels through the room.
[0015] The situation is further complicated by the effect of walls and / or furniture, such as desks, chairs, paintings, decorative frames, which can absorb or reflect light depending on their surface properties, for example their opacity, texture or shine. Solution to the technical problem
[0016] According to a first aspect of the invention, there is provided a method (3000) for synchronous acquisition of a hyperspectral image of a landscape (1002) surrounding a glazed building (1001) or an automobile, on the one hand, and of digital images and radiometric spectra of the interior (2000) of said glazed building (1001) or of said automobile, on the other hand, said method comprises the following steps: - the acquisition (3001) of a hyperspectral image of said landscape (1002) according to an angle of 360° in the reference plane of said acquisition; - the acquisition (3002), within the time limit, t, of acquisition of the hyperspectral image, of at least one digital image of at least part of the interior environment (2000) of said building (1001) or of said automobile according to a given viewing angle; - the acquisition (3003), within the time limit, t, of acquisition of the hyperspectral image, of at least one radiometric spectrum of said at least one part of the interior environment (2000) of said building (1001) or of said automobile according to said given viewing angle
[0017] Advantageous embodiments are described below.
[0018] The method allows the synchronous acquisition of a hyperspectral image of a landscape surrounding a glazed building or an automobile, on the one hand, and of digital images and radiometric spectra of the interior of said glazed building or said automobile, on the other hand.
[0019] According to a second aspect of the invention, there is provided a system for implementing a method according to the first aspect of the invention.
[0020] According to a third aspect of the invention, the digital images and radiometric spectra acquired according to the first aspect of the invention are used to evaluate the quality of a physico-realistic simulation of the interior environment of a glazed building or an automobile when the hyperspectral image of the external appearance of said building or said automobile is used as an environment map in said simulation. Advantages of the invention
[0021] A major advantage of the present invention is to provide reference elements for the spectral characteristics of simulated images, in particular by physicorealistic rendering, of the interior environment of a glazed room when the hyperspectral image of the surrounding exterior landscape is used as an environment map in said simulation.
[0022] More precisely, by comparing the spectral characteristics of the simulated images with those of the digital images and the radiometric spectrum, it is possible to very precisely evaluate the quality, i.e. the degree of realism, of said simulation. For example, the invention makes it possible to verify whether the interior brightness, in particular its daily variations, is correctly simulated from the hyperspectral image of the surrounding exterior landscape used as an environment map in said simulation. Other characteristics such as colors, shadow effects, transmission and / or reflection on or through glazing, in the image can also be precisely evaluated.
[0023] In other words, the invention makes it possible to verify the realistic rendering of the interior environment of a glazed room under a realistic sky. Thus, the simulation parameters can be adjusted and / or corrected, in order to make this environment simulated interior that is more realistic and / or significantly closer to what a human observer might expect to see if that interior environment were real. Brief description of the drawings
[0024] [Fig-1] is a schematic representation of a glass building in a landscape.
[0025] [Fig.2] is a schematic representation of the interior environment of the building glazed in [Fig.l].
[0026] [Fig.3] is a flow diagram of a method according to a first embodiment of the first aspect of the invention.
[0027] [Fig.4] is a flow diagram of a method according to a second embodiment of the first aspect of the invention.
[0028] [Fig.5] is a flow diagram of a method according to a third embodiment of the first aspect of the invention.
[0029] [Fig.6] is a detailed schematic representation of an example hyperspectral camera of [Fig.l]. Detailed description of embodiments
[0030] By "hyperspectral imaging" is meant hyperspectral imaging as defined in the technical field of imaging. It includes in particular the techniques, devices and / or systems for constructing an image in which each of the individual elements, called pixels, is associated with a reflectance spectrum. Expressed simply, hyperspectral imaging allows exploration of the electromagnetic spectrum beyond the RGB channels of conventional imaging systems. Thus, a hyperspectral image is formed from an assembly of several tens, or even hundreds, of contiguous spectral bands acquired for each of the pixels. It generally has a matrix structure and can be represented in the form of a data cube in which the first two dimensions represent the spatial dimensions of the image and the third its spectral dimension.
[0031] By "radiometric spectrum" is meant a spectrum obtained by any radiometric technique or method suitable for measuring electromagnetic radiation, including visible light. In particular, it may be a spectrum of at least one of the radiometric quantities among electromagnetic energy, energy flux, energy intensity, energy radiance, energy irradiance, energy emittance and energy exposure.
[0032] [Fig.l] illustrates an example of a glazed building 1001 in a real landscape 1002. The glazed building 1001 may comprise one or more glazings 1003 distributed over one or more of its walls. [Fig.2] illustrates the interior 2000 of the same glazed building 1001 from a certain viewing angle.
[0033] As explained above, one of the difficulties of numerical simulation, particularly physico-realistic simulation, of a building or an automobile, concerns the way in which light is transmitted through the glazing and, possibly, according to the multiple reflections and / or transmissions between the glazings when the light travels through the room. Interior walls and / or furniture, such as desks, chairs, paintings, decorative frames, can absorb or reflect light depending on their surface properties, for example their opacity, texture or luster.
[0034] According to a first aspect of the invention, with reference to [Fig.l] to [Fig.4], there is provided a method 3000 for synchronous acquisition of a hyperspectral image of a landscape 1002 surrounding a glazed building 1001 or of an automobile, on the one hand, and of digital images and radiometric spectra of the interior 2000 of said glazed building 1001 or of said automobile, on the other hand, said method comprises the following steps: - the acquisition 3001 of a hyperspectral image of said landscape 1002 at an angle of 360° in the reference plane of said acquisition; - the acquisition 3002, within the time limit, t, of acquisition of the hyperspectral image, of at least one digital image of at least part of the interior environment 2000 of said building 1001 or of said automobile according to a given viewing angle; - the acquisition 3003, within the time limit, t, of acquisition of the hyperspectral image, of at least one radiometric spectrum of said at least one part of the interior environment 2000 of said building 1001 or of said automobile according to said given viewing angle.
[0035] In [Fig.3] to [Fig.5], the symbols “D” and “F” represent respectively the beginning and the end of a method 3000, 4000, 5000 according to the first aspect of the invention.
[0036] By way of example, with reference to [Fig.l] and [Fig.6], the acquisition step 3001 can be carried out using a hyperspectral image acquisition device 1004. This device 1004 can in particular comprise: - a CCD 6001 hyperspectral camera equipped with a 6002 hypergone lens whose optical axis (AO) is oriented in a direction substantially perpendicular to the astronomical zenith vertical direction (ZA); - a rotating mobile stage 6002 configured to ensure the rotation of said hyperspectral camera 6001 at an angle of 360° in the reference plane of said hyperspectral camera 6001 with, as axis of rotation, the astronomical zenith vertical direction (ZA).
[0037] The hyperspectral camera may have a spectral range between 400nm and 1000nm, a spectral resolution between 2nm and 4nm, a maximum horizontal field angle of 360°, a vertical field angle of at least 170°, a time exposure between 21ps and 10s, and preferably a standard resolution of at least 900x1600 pixels.
[0038] Steps 3002, 3003 of acquiring the digital image and the radiometric spectrum can be carried out using a digital photographic device 2001 and a spectroradiometer 2002 respectively. For example, the digital photographic device can be a digital camera equipped with a 24x36mm CMOS sensor, a resolution of 5760x3840 pixels, an ISO sensitivity varying from 100 to 25600, a shutter speed between 1 / 8000 s and 30 s, and a 20mm lens.
[0039] The spectroradiometer may have a spectral range varying from 380 nm to 780 nm, a spectral resolution of at least 1 Inm, a luminance range varying from 0.1 to 150,000 cd / m2 with an uncertainty of approximately ±2% at 100 cd / m2.
[0040] According to certain embodiments, the respective acquisition times of said digital image and of the radiometric spectrum are shorter than that of the hyperspectral image, and a plurality of digital images and radiometric spectra are acquired within the acquisition time of said hyperspectral image.
[0041] According to certain particular embodiments, the digital images and the radiometric spectrum are acquired sequentially or in parallel.
[0042] Also, according to a first of the particular embodiments, with reference to [Fig. 3], step 3002 of acquiring the digital image and step 3003 of acquiring the radiometric spectrum are carried out in parallel, for example simultaneously.
[0043] According to a first example, the time for acquiring the digital image may generally be shorter than that for acquiring the hyperspectral image, step 3002 for acquiring the digital image may be carried out at the start, during or just before the end of step 3001 for acquiring the hyperspectral image.
[0044] According to a second example, step 3002 of acquiring the digital image can be carried out several times during step 3003 of acquiring the radiometric spectrum so as to generate several digital images during the acquisition time of the radiometric spectrum. Said step 3002 can, for example, be carried out two, three times or even as many times as necessary to cover the acquisition time of the radiometric spectrum.
[0045] According to a third example, step 3003 of acquiring the radiometric spectrum is carried out several times, for example two or three times, or more during the time period, t, of acquiring the hyperspectral image, while step 3002 of acquiring the digital image is carried out as many times as necessary to cover said same time period t.
[0046] According to a second of the particular embodiments, with reference to [Fig.4], step 3002 of acquiring the digital image and step 3003 of acquiring of the radiometric spectrum are carried out sequentially. According to one example, as shown in said [Fig.4], step 3002 of acquiring the digital image is carried out before step 3003 of acquiring the radiometric spectrum are carried out sequentially. According to another example, the chronological order of the two steps is reversed.
[0047] According to a third, and preferred, particular embodiment, with reference to [Fig.5], the digital images and the radiometric spectrum are acquired sequentially and alternately. The step 3002 of acquiring the digital image and the step 3003 of acquiring the radiometric spectrum may be respectively subdivided into a plurality of successive steps 3002a-3002z and 3003a-3003z organized alternately in the chronological order of their execution, for example, a step 3002a, then 3003a, then 3002b, then 3003b, etc. The chronological order of succession of the steps 3002a-3002z and 3003a-3003z may be reversed in an equivalent manner, that is to say that step 3003 is executed before step 3002a and so on.
[0048] According to certain embodiments, the digital images and the radiometric spectrum are acquired from different viewing angles. Acquisition from several viewing angles makes it possible to establish a more complete map of the variations in light exposure of the interior of the glazed building or automobile, in particular by better representativeness of the light effects of the walls and interior furniture and / or the orientation relative to the sun. The digital images and the radiometric spectra can constitute more elements of comparison for evaluating the quality of a physico-realistic simulation of the interior environment of a glazed building or an automobile when the hyperspectral image of the external appearance of said building or automobile is used as an environment map in said simulation.
[0049] During the acquisition time of the hyperspectral image, the weather conditions may change and cause variations in brightness outside and inside the glazed building or automobile. These untimely variations in brightness may affect the spectral image during its acquisition. Consequently, in order to ensure representativeness of the digital images and radiometric spectra with regard to these variations in brightness, it is advantageous to acquire digital images and radiometric spectra under the same light conditions in their variations.
[0050] In this regard, according to certain additional embodiments, the method may further comprise the following steps: - the calculation, using data processing means, of luminance from radiometric spectra; - the comparison, using data processing means, of the luminance values according to the wavelength between at least two radiometric spectra acquired according to the same viewing angle; - the detection, using data processing means, of luminance shifts as a function of wavelength between at least two radiometric spectra acquired at the same viewing angle after the comparison step.
[0051] Thanks to these complementary embodiments, it is possible to detect untimely variations in brightness. If necessary, these variations can be corrected and / or more faithfully simulated when evaluating the quality of a physico-realistic simulation of the interior environment of a glazed building or an automobile, the hyperspectral image of the external appearance of said building or said automobile being used as an environment map in said simulation.
[0052] The data processing device may be any device adapted to execute sequences of arithmetic or logical operations automatically in order to perform tasks or actions. This device may comprise one or more central processing units (CPUs) and at least one control device which are adapted to perform these operations.
[0053] The device may also include other electronic components such as input / output interfaces, non-volatile or volatile storage devices, and communication buses for transferring data between electronic components inside and outside said device. One of the input / output devices may be a user interface for human-machine interaction, for example a graphical user interface for displaying human-understandable information.
[0054] A first example of a data processing device may be a computer. A second example may be an embedded system, for example a low-power computer card such as a single-board computer.
[0055] The method implemented by the data processing device may be a computer program comprising instructions which, when the program is executed by said device, causes said device to implement said method.
[0056] Any type of programming language, compiled or interpreted, can be used to implement the steps of said method. The computer program may be part of a software solution, i.e. a collection of executable instructions, codes, scripts or the like and / or databases.
[0057] In some embodiments, the computer program may be stored on a non-transitory computer-readable medium. Accordingly, this non-transitory computer-readable medium includes instructions that, when executed by a computer, cause the computer to execute said method.
[0058] According to certain embodiments, for a given viewing angle and constant weather conditions, the digital images can be acquired for different values of at least two, or even three, parameters chosen from shutter speed, aperture size and ISO sensitivity. Acquisition for different values of these parameters allows digital images to be obtained for different exposures, and therefore capture of a greater quantity of details, nuances and contrasts of the interior of the glazed building or automobile.
[0059] In order to ensure better representativeness of the digital images with regard to the external brightness conditions in which the hyperspectral image is acquired, according to certain advantageous embodiments, the shutter speed values, expressed in seconds, and diaphragm sizes can be selected so that the cumulative exposure times of the digital images are less than or equal to the acquisition time of the hyperspectral image.
[0060] Rather than limiting oneself to several acquired digital images, it may be preferable to enhance the nuances and details captured by each of the images taken at different exposures to construct a single digital image more representative of human vision. Also, according to certain advantageous embodiments, the method may further comprise a step of generating, using data processing means, at least one high dynamic range image from the digital images (“High Dynamic Range” or HDR in English).
[0061] It may happen, for various reasons, that digital images exhibit discontinuities in their color profiles, although these may not be visible to the naked eye. These discontinuities may have several origins, in particular sudden variations in brightness and / or untimely variations in the response of the CMOS or CCD sensors of the photographic device used for acquiring the images.
[0062] In the case of high dynamic range digital images, discontinuities may result from the algorithms for composing or generating a high dynamic range digital image from a plurality of digital images acquired at different exposure times since the exposure times between two consecutive digital images are very different.
[0063] In this context, according to certain particular and advantageous embodiments, the method further comprises a step of correcting, using data processing means, discontinuities in the color profiles of the digital images. The correction can be carried out using any suitable digital method.
[0064] According to a second aspect of the invention, with reference to [Fig.l], [Fig.2] and [Fig.6], there is provided a system for synchronous acquisition of a hyperspectral image of a landscape 1002 surrounding a glazed building 1001 or of an automobile, on the one hand, and of images digital and radiometric spectra of the interior 2000 of said glazed building 1001 or of said automobile, on the other hand, said system comprising: - a CCD 6001 hyperspectral camera equipped with a 6002 hypergone lens whose optical axis (AO) is oriented in a direction substantially perpendicular to the astronomical zenith vertical direction (ZA); - a rotating mobile plate 6003 configured to ensure the rotation of said hyperspectral camera according to an angle of 360° in the reference plane of said hyperspectral camera with, as axis of rotation, the astronomical zenith vertical direction (ZA); - a 2001 digital photographic device; - a 2002 spectrophotometer; in which - said hyperspectral camera 2002 is configured for the acquisition of a hyperspectral image of said landscape; - the digital photographic device 2001 is configured for the acquisition, within the acquisition time of the hyperspectral image, of at least one digital image of at least a part of the interior environment 2000 of said building 1001 or of said automobile according to a given viewing angle; - the spectroradiometer 2001 is configured for the acquisition, within the acquisition time of the hyperspectral image, of at least one radiometric spectrum of said at least one part of the interior environment 2000 of said building 2001 or of said automobile according to said given viewing angle.
[0065] Unless they are clearly technically incompatible, all the embodiments described previously within the framework of the detailed description of the method according to the first aspect of the invention are valid for the system according to the second aspect of the invention.
[0066] In particular, the examples of hyperspectral cameras, digital photographic devices and spectroradiometers described above apply to said system.
[0067] According to some embodiments, the system may further be configured to acquire a plurality of digital images and radiometric spectra within the timeframe of acquiring a hyperspectral image.
[0068] According to certain preferred embodiments, the system is configured to sequentially and alternately acquire the digital images and the radiometric spectrum.
[0069] Preferably, the system may further comprise data processing means configured to: - calculate a luminance value from each of the radiometric spectra; - compare the luminance values according to the wavelength between at least two radiometric spectra acquired according to the same viewing angle; - detecting luminance shifts as a function of wavelength between at least two radiometric spectra acquired at the same viewing angle after the comparison step; - generate at least one high dynamic range image from the digital images.
[0070] According to a third aspect of the invention, a method according to the first aspect of the invention can be used to evaluate the quality of a simulation by physico-realistic rendering of the interior of a glazed building or of an automobile, in which: - the hyperspectral image of the landscape surrounding said building or said automobile is used as an environment map in a physico-realistic rendering engine; - images of the interior of said glazed building or of said automobile are simulated using said physico-realistic rendering engine from said environment map; - the spectral characteristics of the simulated images are compared with those of the digital images and the radiometric spectra.
[0071] To explain previously, the comparison of the spectral characteristics, such as brightness, colors, shadow effects, transmission and / or reflection on or through the glazing, of the simulated images with those of the digital images and the radiometric spectrum, it is possible to very precisely evaluate the quality, that is to say the degree of realism, of said simulation. It is then possible to verify the realistic rendering of the interior environment of a glazed room under a realistic landscape or sky. The simulation parameters can then be adjusted and / or corrected, in order to make this simulated interior environment more realistic. List of references Patent literature
[0072] CN 207442995 U, SHENZHEN REAL SCENE TECH CO LTD [CN] 01.06.2018.
[0073] JP 2007028272 A, DOMUS INTERNAT LTD [JP] 01.02.2007
[0074] US 2004012542 Al, BOWSHER et al. [US] 01 / 22 / 2004.
[0075] US 10217242 Bl, CERTAIN TEED CORP [US] 26.02.2019.
[0076] WO 2022135942 Al, SAINT GOBAIN [FR], 30.06.2022 Littérature non-brevet
[0077] Jan Meseth et al., ‘Vérification of rendering quality from measured BTFs’, ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, 2006, p. 127-134.
Claims
Claims
1. Method (3000) for synchronous acquisition of a hyperspectral image of a landscape (1002) surrounding a glazed building (1001) or an automobile, on the one hand, and of digital images and radiometric spectra of the interior (2000) of said glazed building (1001) or of said automobile, on the other hand, said method comprises the following steps: - the acquisition (3001) of a hyperspectral image of said landscape (1002) at an angle of 360° in the reference plane of said acquisition; - the acquisition (3002), within the time limit, t, of acquisition of the hyperspectral image, of at least one digital image of at least a part of the interior environment (2000) of said building (1001) or of said automobile at a given viewing angle;- the acquisition (3003), within the time, t, of the acquisition of the hyperspectral image, of at least one radiometric spectrum of said at least one part of the interior environment (2000) of said building (1001) or of said automobile according to said given viewing angle, the respective times of acquisition of said digital image and of the radiometric spectrum being shorter than that of the hyperspectral image, and a plurality of digital images and radiometric spectra being acquired within the time of acquisition of said hyperspectral image, - the calculation, using data processing means, of the luminance from the radiometric spectra; - the comparison, using data processing means, of the luminance values according to the wavelength between at least two radiometric spectra acquired according to the same viewing angle;- the detection, using data processing means, of luminance shifts as a function of the wavelength between at least two radiometric spectra acquired according to the same viewing angle after the comparison step.;
2. A method according to claim 1, such that the digital images and the radiometric spectrum are acquired sequentially or in parallel.
3. A method according to claim 2, such that the digital images and the radiometric spectrum are acquired sequentially and alternately.
4. A method according to any one of claims 1 to 3, such that the digital images and the radiometric spectrum are acquired from different viewing angles.
5. Method according to any one of claims 1 to 4, such that, for a given viewing angle and constant weather conditions, the digital images are acquired for different values of at least two, or even three, parameters chosen from shutter speed, diaphragm size and ISO sensitivity.
6. Method according to claim 5, such that the shutter speed values, expressed in seconds, and diaphragm sizes are selected so that the cumulative exposure times of the digital images are less than or equal to the acquisition time of the hyperspectral image.
7. A method according to any one of claims 1 to 6, such that the method further comprises a step of generating, using data processing means, at least one high dynamic range image from the digital images.
8. A method according to claim 7, such that said method further comprises a step of correcting, using data processing means, discontinuities in the color profiles of the digital images.
9. System for synchronous acquisition of a hyperspectral image of a landscape (1002) surrounding a glazed building (1001) or an automobile, on the one hand, and of digital images and radiometric spectra of the interior (2000) of said glazed building (1001) or of said automobile, on the other hand, said system comprising: - a CCD hyperspectral camera (6001) provided with a hypergone lens (6002) whose optical axis (AO) is oriented in a direction substantially perpendicular to the vertical astronomical zenith direction (ZA); - a rotating mobile stage (6003) configured to ensure the rotation of said hyperspectral camera through an angle of 360° in the reference plane of said hyperspectral camera with, as axis of rotation, the vertical astronomical zenith direction (ZA); - a digital photographic device (2001); - a spectrophotometer (2002); in which - said hyperspectral camera (2002) is configured for the acquisition of a hyperspectral image of said landscape; - the digital photographic device (2001) is configured for the acquisition, within the time limit for acquiring the hyperspectral image, of at least one digital image of at least a part of the interior environment (2000) of said building (1001) or of said automobile according to a given viewing angle;- the spectroradiometer (2001) is configured for the acquisition, within the acquisition time of the hyperspectral image, of at least one radiometric spectrum of said at least one part of the interior environment (2000) of said building (2001) or of said automobile according to said given viewing angle, - said system being further configured for the acquisition of a plurality of digital images and radiometric spectra within the acquisition time of a hyperspectral image and said system comprising data processing means configured to: - calculate a luminance value from each of the radiometric spectra; - compare the luminance values according to the wavelength between at least two radiometric spectra acquired according to the same viewing angle; - detect luminance shifts according to the wavelength between at least two radiometric spectra acquired according to the same viewing angle after the comparison step;- generate at least one high dynamic range image from the digital images.;
10. -System according to claim 9, such that said system is configured to sequentially and alternately acquire the digital images and the radiometric spectrum.
11. Use of a method according to any one of claims 1 to 8 for evaluating the quality of a simulation by physico-realistic rendering of the interior of a glazed building or an automobile, in which - the hyperspectral image of the landscape surrounding said building or said automobile is used as an environment map in a physico-realistic rendering engine; - images of the interior of said glass building or of said automobile are simulated using said physical-realistic rendering engine from said environment map; - the spectral characteristics of the simulated images are compared with those of the digital images and radiometric spectra.