KR-20260063768-A - Integrated processing system for optical satellite imagery for ARD (Analysis Ready Data)

KR20260063768AKR 20260063768 AKR20260063768 AKR 20260063768AKR-20260063768-A

Abstract

An optical satellite image integrated processing system according to an embodiment of the present invention may include: a data receiving unit that receives original data of satellite information including band-specific bundle data; an ARD generating unit that performs atmospheric correction to generate Analysis Ready Data (‘ARD’) based on the original data; an ARD storage unit in which the Analysis Ready Data (ARD) generated after processing the atmospheric correction in the ARD generating unit is tabulated and stored as band-specific bundle data; and an output unit that maps the file processed by the ARD generating unit onto a web map using a tiling technique to selectively display it, and provides the Analysis Ready Data (ARD) of the file processed by the ARD generating unit to a user for download.

Inventors

김광섭
이기원

Assignees

주식회사 스텔라비전

Dates

Publication Date: 20260507
Application Date: 20241031

Claims (15)

A data receiving unit that receives original data of satellite information containing band-specific bundle data; An ARD generation unit that performs standby correction to generate Analysis Ready Data ('ARD') based on the above original data; An ARD storage unit in which analysis preparation data (ARD) generated after processing the standby correction in the above ARD generation unit is tabulated and stored as band-specific bundle data; and It includes an output unit that maps the file processed by the ARD generation unit onto a web map using a tiling technique to selectively display it, and provides the analysis preparation data (ARD) of the file processed by the ARD generation unit to a user for download. The above ARD generating unit is, An RGB merging unit that merges band-specific bundle data of the above original data; A TOA processing unit that processes atmospheric reflection (TOA) on the file merged in the above RGB merging unit; and An optical satellite image integrated processing system comprising a TOC processing unit that processes the TOC (Total of Coordinates) of the above TOA-processed file.
In Article 2, An optical satellite image integrated processing system, wherein the above ARD generation unit further includes a filtering unit that performs a data filtering function to set reliable valid data among the original data.
In Article 2, The filtering unit determines whether the original data has a value exceeding a preset angle range in at least one of the angle types, such as the off-nadir angle of the shooting angle, the left-right rotation angle (roll) of the attitude angle, and the front-back rotation angle (pitch) of the attitude angle. An optical satellite image integrated processing system having a preset angle range of -30 degrees to +30 degrees.
In Paragraph 3, An optical satellite image integrated processing system, wherein the filtering unit determines that there is a value exceeding the preset angle range in at least one angle type, and excludes the bundle data corresponding to the value exceeding the range from valid data.
In Article 1, The above ARD generation unit includes a shooting angle filtering unit that excludes shooting angle values exceeding a preset range from the original data; and An optical satellite image integrated processing system further comprising an attitude angle filtering unit that excludes attitude angle values exceeding a preset range from the original data.
In Article 5, An optical satellite image integrated processing system, wherein the above-described shooting angle filtering unit filters the satellite information data related to the excess Off-nadir value to exclude it from the original data when the Off-nadir angle value in the original data exceeds the range of +40 degrees to -40 degrees.
In Article 5, An optical satellite image integrated processing system, wherein the attitude angle filtering unit filters the satellite information data related to the excess left/right rotation angle value to exclude it from the original data when the value of the left/right rotation angle (roll) in the original data exceeds the range of +30 degrees to -30 degrees.
In Article 5, An optical satellite image integrated processing system, wherein the attitude angle filtering unit filters the satellite information data related to the exceeded pitch value from the original data when the pitch value in the original data exceeds the range of +30 degrees to -30 degrees.
In Article 1, The above original data is an optical satellite image integrated processing system including RED data, Green data, Blue data and NIR (near-infrared) data, meta-information data and atmospheric information data.
In Article 9, The above metadata data includes Gain, Biases, ESUN (Solar illuminations), Sun angles, and Viewing angles, and The above atmospheric information data includes surface temperature, temperature distribution, atmospheric pressure, ozone, aerosol, water vapor content, and optical thickness, and The above atmospheric information data is an optical satellite image integrated processing system that receives the above atmospheric information data in real time from an open source to the above data receiving unit.
In Article 1, The above TOC processing unit is an optical satellite image integrated processing system that generates an image by merging band-specific surface reflectance values stored in the ARD storage unit to display a surface reflectance (TOC) processed image through the output unit.
In Article 11, An optical satellite image integrated processing system in which the output unit maps the surface reflectance processed image together with an RGB merged image onto a Web map and selectively displays it.
In Article 1, The above output unit is an optical satellite image integrated processing system that provides a function to turn the display on or off so that an RGB merged image, an atmospheric reflectance processed image, and a surface reflectance processed image are sequentially stacked.
In Article 1, The above output unit includes a side menu bar for individually controlling an RGB merged image, an atmospheric reflectance processed image, or a surface reflectance processed image on a web map, and In the side menu bar above, An on-off menu to display or hide each video on the web map; Up and down arrow menus that move the image selected by the user to the front or hide it to the back so that it is displayed preferentially when multiple images are stacked and displayed at the same area coordinates; and An optical satellite image integrated processing system including a Download menu provided to download ARD data for an image selected by a user.
Step of receiving Level 1 data of satellite information; A step of determining whether there is a value exceeding a preset angle range in at least one angle type among the off-nadir angle of the shooting angle, the left-right rotation angle (roll) of the attitude angle, and the front-back rotation angle (pitch) of the attitude angle in the received Level 1 data; If there is a value exceeding a preset angle range in at least one of the above angle types, a step of performing filtering to remove the bundle data corresponding to the value exceeding the range from the received Level 1 data; A step in which the filtered data of the above shooting angle and attitude angle is uploaded from the ARD generation unit; It includes a correction mode execution step in which atmospheric reflectance (TOA) and surface reflectance (TOC) are processed based on the above-mentioned uploaded band-specific data, and The above correction mode execution step individually stores atmospheric reflectance (TOA) values and surface reflectance (TOC) values for each band, and An optical satellite image integrated processing method characterized in that, in the above correction mode execution step, the image in which atmospheric reflectance (TOA) or surface reflectance (TOC) is processed is mapped and displayed on a web map using a tiling technique.

Description

Integrated processing system for optical satellite imagery for ARD (Analysis Ready Data) generation The present invention relates to an integrated processing system for generating Analysis Ready Data (ARD) based on Level 1 data from an optical satellite. The importance of Earth observation (EO) satellite information is increasing in order to continuously observe global or local climate change and changes in the terrestrial ecosystem. Recently, satellite information supply and demand groups have been actively disclosing technologies aimed at utilizing information obtained from Earth observation satellite sensors with superior performance. Furthermore, to apply Earth observation (EO) satellite data to time-series analysis, data from multiple satellites can be utilized more effectively than data from a single satellite. Accordingly, interest is also increasing in ARD (Analysis Ready Data), which allows data acquired from satellites to be conveniently used for time series analysis tasks desired by the user. Meanwhile, information provided by the KOMPSAT-3/3A satellite, launched in South Korea in 2015, is being utilized in various fields. However, there are no tools capable of acquiring surface reflectances necessary for analyzing actual terrestrial environments—that is, integrated systems for generating ARDs for surface reflectances—or there are difficulties in utilizing them due to the high difficulty caused by complex calculation processes. Meanwhile, raw data transmitted from an optical satellite is classified as Level 0 data, and initial data processed into an image from the raw data is classified as Level 1 data. Generally, radiation, geometric, and orthophoto correction can be processed on the Level 1 data. The above-mentioned radiative correction can be understood as a process of correcting the image's pixels, band value responsiveness, noise, etc., and the above-mentioned orthophoto correction can be understood as a correction generated so that the image is projected vertically from the air like a map, and the above-mentioned geometric correction can be understood as quantitatively correcting the correspondence relationship between image pixel coordinates and ground geographic coordinates. Meanwhile, although it may vary depending on the operator, the data provided by the above-mentioned satellite information supply group is generally the above-mentioned Level 1 data. In addition, data processed into a precise form based on the above Level 1 data can be classified as Level 2 data. For example, data processed with atmospheric correction (e.g., atmospheric reflectance, surface reflectance, etc.) based on the above Level 1 data can be classified as Level 2 data. That is, the above ARD can be understood as Level 2 data. Furthermore, data forms that perform secondary analysis in various forms based on the above Level 2 data can be classified as Level 3 data. For example, Normalized Vegetation Index (NDVI), fan sharpening, and cloud removal data can be understood as Level 3 data. As described above, in the case of optical satellites, atmospheric correction can be performed to eliminate atmospheric effects by utilizing the spectral characteristics of each satellite sensor band. The above atmospheric correction can be understood as correcting for the influence of atmospheric and surface reflection values. In addition, in the above atmospheric correction, key parameters applicable to scientific analysis, such as Top of Atmosphere Reflectance (hereinafter TOA) and Top of Canopy Reflectance (hereinafter TOC), can be calculated. The above atmospheric reflectance (hereinafter referred to as TOA) can be understood as a correction value for the top or upper layer of the atmosphere, in a state that includes atmospheric effects. Here, the above atmospheric effects originate from clouds, aerosols, atmospheric air molecules, etc. The above surface reflectance (hereinafter referred to as TOC) is defined as the relative ratio of the amount of sunlight reaching the surface of the earth and the amount of light reflected by the surface. The above surface reflectance has no units and generally has a value between 0 and 1. That is, the above surface reflectance can be understood as the actual surface reflectance with atmospheric effects removed. Therefore, using the above surface reflectance will enable more reliable and precise results in forest change detection, vegetation index (Normalized Differential Vegetation Index, NDVI) calculation, etc., compared to images processed only with the above atmospheric reflectance or Level 1 data images. Specifically, the Natural Dispersion Viability Index (NDVI) can be understood as an indicator representing the health and density of vegetation by utilizing the characteristics of the surface reflectance mentioned above. In other words, the vegetation index is closely related to the characteristics of the surface and provides important information in various fields such as environmental mon