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JP-2026074730-A - System, information processing method, and recording medium

JP2026074730AJP 2026074730 AJP2026074730 AJP 2026074730AJP-2026074730-A

Abstract

[Challenge] To improve the efficiency of observations using 3D data. [Solution] The system according to the embodiment includes an information processing device and a reference station whose location information is known. The information processing device comprises an acquisition unit, an extraction unit, a matching unit, and an assignment unit. The acquisition unit acquires a reference station image, which is an image including the reference station, to which first location information based on the location information of the reference station is assigned to a first area indicated by the reference station image, and a satellite image taken by a predetermined satellite. The extraction unit extracts feature quantities in the first area and the second area indicated by the satellite image. The matching unit matches the feature quantities between the first area and the second area. The assignment unit assigns second location information corresponding to the first location information to the second area based on the matching result. [Selection Diagram] Figure 3

Inventors

  • 田口 正雄

Assignees

  • ソフトバンク株式会社

Dates

Publication Date
20260507
Application Date
20241021

Claims (11)

  1. A system including an information processing device and a reference station whose location information is known, The aforementioned information processing device is An acquisition unit that acquires a reference station image which is an image including the reference station, and to which a first position information based on the position information of the reference station is assigned to the first area indicated by the reference station image, and a satellite image taken by a predetermined satellite, An extraction unit that extracts feature quantities in the first area and the second area shown by the satellite image, A matching unit that matches the feature quantities between the first area and the second area, Based on the matching results, a assigning unit assigns second position information corresponding to the first position information to the second area, A system equipped with these features.
  2. The assignment unit assigns the first position information, based on the position information of the reference station, to objects included in the first area as objects in the vicinity of the reference station. The extraction unit extracts feature quantities of objects included in the first area based on the first position information. The system according to claim 1.
  3. The extraction unit extracts feature quantities of objects included in the second area based on the satellite image, The matching unit matches the feature quantities between the objects included in the first area and the objects included in the second area. The assigning unit assigns absolute position information of an object included in the second area to the object as second position information corresponding to the first position information. The system according to claim 2.
  4. The acquisition unit acquires the satellite image in accordance with the predetermined period of imaging by the predetermined satellite. The matching unit extracts a reference station image to be matched from the reference station image based on the approximate positional information contained in the current satellite image, and matches the feature quantities between the first area shown by the extracted reference station image to be matched and the second area shown by the current satellite image. The system according to claim 1.
  5. A generation unit generates three-dimensional point cloud data by combining the satellite image to which the second position information has been assigned to the second area with the assigned satellite image, To prepare further, The system according to claim 1.
  6. The acquisition unit acquires the satellite images taken sequentially by the predetermined satellite as it moves along a predetermined orbit, each time an image is taken. The generation unit generates the three-dimensional point cloud data by combining the assigned satellite images corresponding to each of the satellite images taken at different times, where at least a portion of the second area overlaps among the satellite images. The system according to claim 5.
  7. The generation unit, at the time when the assigned satellite images for a predetermined period have been accumulated, repeatedly performs the process of generating the three-dimensional point cloud data by combining the assigned satellite images for the predetermined period, at each predetermined period. The system according to claim 6.
  8. The matching unit further performs a process to match the relative positional relationship between the first three-dimensional point cloud data generated by combining the assigned satellite images for a first period and the second three-dimensional point cloud data generated by combining the assigned satellite images for a second period that is later than the first period. Based on the matching results, a calculation unit calculates the volume of the portion that has changed between the topography in the first period and the topography in the second period. To prepare further, The system according to claim 7.
  9. The calculation unit calculates the difference between the topography during the first period and the topography during the second period based on the matching results, and calculates the volume of the portion that has changed between the topography during the first period and the topography during the second period based on the difference. The system according to claim 8.
  10. An information processing method performed by a system including an information processing device and a reference station whose location information is known, The aforementioned information processing device An acquisition step of acquiring a reference station image which is an image including the reference station, and to which a first location information based on the location information of the reference station is assigned to the first area indicated by the reference station image, and a satellite image taken by a predetermined satellite, An extraction step for extracting feature quantities in the first area and the second area shown in the satellite image, A matching step of matching the feature quantities between the first area and the second area, A step of assigning second location information corresponding to the first location information to the second area based on the matching results, Information processing methods including
  11. In a system including an information processing device and a reference station whose location information is known, The aforementioned information processing device A reference station image is an image that includes the aforementioned reference station, wherein a first location information is assigned to the first area indicated by the reference station image based on the location information of the reference station, and a satellite image is acquired that is taken by a predetermined satellite. Extract the feature quantities in the first area and the second area shown in the satellite image, The feature quantities are matched between the first area and the second area. Based on the matching results, the assigned satellite image obtained by assigning second position information corresponding to the first position information to the second area is A recording medium.

Description

This invention relates to a system, an information processing method, and a recording medium. In recent years, observations utilizing three-dimensional data have been conducted. For example, Patent Document 1 proposes a method for accurately detecting aerial markers from captured images, using these images for measuring building structures, soil volume, etc. Japanese Patent Publication No. 2022-133328 Figure 1 shows an overview of ground surface observation using SAR interferometry.Figure 2 is an explanatory diagram illustrating the proposed technology of the present invention.Figure 3 shows an example of the configuration of an information processing device according to the embodiment.Figure 4 shows a specific example of feature matching according to the embodiment.Figure 5 is a flowchart showing the procedure for pre-treatment PR1 according to this embodiment.Figure 6 is a flowchart showing the procedure for pre-treatment PR2 according to the embodiment.Figure 7 shows a specific example of adding location information.Figure 8 is a flowchart showing the steps of the assignment process and generation process according to the embodiment.Figure 9 is a flowchart showing the procedure for the calculation process according to this embodiment.Figure 10 is a flowchart showing the procedure for the estimation process according to the embodiment.Figure 11 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment. The embodiments of this disclosure will be described in detail below with reference to the attached drawings. In this specification and the drawings, components having substantially the same functional configuration are denoted by the same reference numerals, thus omitting redundant descriptions. The one or more embodiments (including examples, modifications, and applications) described below can each be implemented independently. On the other hand, at least some of the embodiments described below may be implemented in appropriate combination with at least some of the other embodiments. These embodiments may contain novel features that differ from each other. Therefore, these embodiments may contribute to solving different objectives or problems and may produce different effects. Furthermore, in the following embodiments, the events targeted by the proposed technology of the present invention are described as natural disasters that cause changes in topography, particularly landslides (mudslides). However, the proposed technology of the present invention can be applied to various events, not limited to natural disasters. <Implementation> [1. Introduction] (About SAR) Observations using Synthetic Aperture Radar (SAR) are well known. Unlike passive sensors that utilize electromagnetic energy emitted from the sun, SAR is an active sensor that emits microwaves from its antenna towards the object being observed and receives the electromagnetic energy scattered by the object. Therefore, it can observe regardless of day or night. Furthermore, because SAR emits microwaves with wavelengths longer than the size of particles in the atmosphere such as clouds and rain, it is less affected by cloud cover and other factors. Thus, SAR has the advantage of being all-weather, allowing observations regardless of the time of day or weather conditions. Furthermore, because SAR can capture objects with a spatial resolution unattainable by other observation methods, it is also used to observe sediment-related disasters such as landslides and ground surface deformation caused by subsidence. For example, a satellite-mounted SAR irradiates microwaves perpendicular to the satellite's direction of travel and diagonally downwards, observes the backscattered waves from the ground surface, and analyzes the observed data to obtain a SAR image with high spatial resolution. SAR images store scattering intensity and phase information for each pixel. The scattering intensity includes information about the Earth's surface, such as its slope, roughness, and dielectric constant, while the phase information includes information about the distance from the satellite to the pixel and the scattering pattern. Thus, while SAR images are intensity images that include phase information, it is difficult to observe changes in the Earth's surface using only one image. Therefore, a technique called SAR interferometry (SAR interference) is known. SAR interferometry is a method that observes the shape and changes of the Earth's surface at an observation site by observing the same location multiple times using a satellite-borne SAR. Figure 1 shows an overview of Earth's surface observation using SAR interferometry. Figure 1 shows a scenario where two SAR observations are performed on the same location on the Earth's surface using the SAR satellite 10, an artificial satellite equipped with SAR. In this way, by conducting two SAR observations to prepare tw