SATELLITE ATTITUDE ESTIMATION SYSTEM, SATELLITE ATTITUDE ESTIMATION METHOD AND SATELLITE ATTITUDE ESTIMATION PROGRAM
To provide a satellite attitude estimation system capable of estimating an attitude of a man-made satellite before being photographed from images obtained from photographing the man-made satellite.SOLUTION: A satellite attitude estimation system 20 includes: an identifying unit 21 which identifies a...
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creator | MORI HIRONOBU KODAKA KATSUYA MUROZONO KYOKO SENZAKI KENTA UMEGAKI CHIKA |
description | To provide a satellite attitude estimation system capable of estimating an attitude of a man-made satellite before being photographed from images obtained from photographing the man-made satellite.SOLUTION: A satellite attitude estimation system 20 includes: an identifying unit 21 which identifies a maximum pixel, which is a pixel with the largest luminance, and a minimum pixel, which is a pixel with the smallest luminance, respectively, in an infrared image which is an image taken by an infrared sensor, wherein a target satellite, which is a man-made satellite whose attitude is to be estimated, is photographed; an association unit 22 which associates the identified maximum pixel and minimum pixel with three-dimensional structural coordinates of the target satellite, respectively; a computation unit 23 which computes normal vectors for a surface including the coordinates associated with the pixels over the coordinates associated with each pixel; and a sun direction estimation unit 24 which estimates a direction of the sun relative to the target satellite before the infrared image is taken using the computed normal vectors.SELECTED DRAWING: Figure 12
【課題】人工衛星が撮像された画像から人工衛星の撮像以前の姿勢を推定できる衛星姿勢推定システムを提供する。【解決手段】衛星姿勢推定システム20は、姿勢が推定される対象の人工衛星である対象衛星が赤外線センサで撮像された画像である赤外線画像において輝度が最大の画素である最大画素と輝度が最小の画素である最小画素とをそれぞれ特定する特定部21と、特定された最大画素および最小画素に対象衛星の3次元構造上の座標をそれぞれ対応付ける対応付け部22と、画素に対応付けられた座標を含む面に対する法線ベクトルを、各画素に対応付けられた座標に渡ってそれぞれ算出する算出部23と、算出された法線ベクトルを用いて赤外線画像が撮像される前の対象衛星に対する太陽の方向を推定する太陽方向推定部24とを備える。【選択図】図12 |
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【課題】人工衛星が撮像された画像から人工衛星の撮像以前の姿勢を推定できる衛星姿勢推定システムを提供する。【解決手段】衛星姿勢推定システム20は、姿勢が推定される対象の人工衛星である対象衛星が赤外線センサで撮像された画像である赤外線画像において輝度が最大の画素である最大画素と輝度が最小の画素である最小画素とをそれぞれ特定する特定部21と、特定された最大画素および最小画素に対象衛星の3次元構造上の座標をそれぞれ対応付ける対応付け部22と、画素に対応付けられた座標を含む面に対する法線ベクトルを、各画素に対応付けられた座標に渡ってそれぞれ算出する算出部23と、算出された法線ベクトルを用いて赤外線画像が撮像される前の対象衛星に対する太陽の方向を推定する太陽方向推定部24とを備える。【選択図】図12</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; MEASURING ; MEASURING ANGLES ; MEASURING AREAS ; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS ; MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS ; PHYSICS ; TESTING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221014&DB=EPODOC&CC=JP&NR=2022157958A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221014&DB=EPODOC&CC=JP&NR=2022157958A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MORI HIRONOBU</creatorcontrib><creatorcontrib>KODAKA KATSUYA</creatorcontrib><creatorcontrib>MUROZONO KYOKO</creatorcontrib><creatorcontrib>SENZAKI KENTA</creatorcontrib><creatorcontrib>UMEGAKI CHIKA</creatorcontrib><title>SATELLITE ATTITUDE ESTIMATION SYSTEM, SATELLITE ATTITUDE ESTIMATION METHOD AND SATELLITE ATTITUDE ESTIMATION PROGRAM</title><description>To provide a satellite attitude estimation system capable of estimating an attitude of a man-made satellite before being photographed from images obtained from photographing the man-made satellite.SOLUTION: A satellite attitude estimation system 20 includes: an identifying unit 21 which identifies a maximum pixel, which is a pixel with the largest luminance, and a minimum pixel, which is a pixel with the smallest luminance, respectively, in an infrared image which is an image taken by an infrared sensor, wherein a target satellite, which is a man-made satellite whose attitude is to be estimated, is photographed; an association unit 22 which associates the identified maximum pixel and minimum pixel with three-dimensional structural coordinates of the target satellite, respectively; a computation unit 23 which computes normal vectors for a surface including the coordinates associated with the pixels over the coordinates associated with each pixel; and a sun direction estimation unit 24 which estimates a direction of the sun relative to the target satellite before the infrared image is taken using the computed normal vectors.SELECTED DRAWING: Figure 12
【課題】人工衛星が撮像された画像から人工衛星の撮像以前の姿勢を推定できる衛星姿勢推定システムを提供する。【解決手段】衛星姿勢推定システム20は、姿勢が推定される対象の人工衛星である対象衛星が赤外線センサで撮像された画像である赤外線画像において輝度が最大の画素である最大画素と輝度が最小の画素である最小画素とをそれぞれ特定する特定部21と、特定された最大画素および最小画素に対象衛星の3次元構造上の座標をそれぞれ対応付ける対応付け部22と、画素に対応付けられた座標を含む面に対する法線ベクトルを、各画素に対応付けられた座標に渡ってそれぞれ算出する算出部23と、算出された法線ベクトルを用いて赤外線画像が撮像される前の対象衛星に対する太陽の方向を推定する太陽方向推定部24とを備える。【選択図】図12</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>MEASURING</subject><subject>MEASURING ANGLES</subject><subject>MEASURING AREAS</subject><subject>MEASURING IRREGULARITIES OF SURFACES OR CONTOURS</subject><subject>MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZCgJdgxx9fHxDHFVcAwJ8QwJdXFVcA0O8fR1DPH091MIjgwOcfXVUcCvytc1xMPfRcHRz4WAwoAgf_cgR18eBta0xJziVF4ozc2g5OYa4uyhm1qQH59aXJCYnJqXWhLvFWBkYGRkaGpuaWrhaEyUIgChrjo2</recordid><startdate>20221014</startdate><enddate>20221014</enddate><creator>MORI HIRONOBU</creator><creator>KODAKA KATSUYA</creator><creator>MUROZONO KYOKO</creator><creator>SENZAKI KENTA</creator><creator>UMEGAKI CHIKA</creator><scope>EVB</scope></search><sort><creationdate>20221014</creationdate><title>SATELLITE ATTITUDE ESTIMATION SYSTEM, SATELLITE ATTITUDE ESTIMATION METHOD AND SATELLITE ATTITUDE ESTIMATION PROGRAM</title><author>MORI HIRONOBU ; KODAKA KATSUYA ; MUROZONO KYOKO ; SENZAKI KENTA ; UMEGAKI CHIKA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2022157958A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>MEASURING</topic><topic>MEASURING ANGLES</topic><topic>MEASURING AREAS</topic><topic>MEASURING IRREGULARITIES OF SURFACES OR CONTOURS</topic><topic>MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>MORI HIRONOBU</creatorcontrib><creatorcontrib>KODAKA KATSUYA</creatorcontrib><creatorcontrib>MUROZONO KYOKO</creatorcontrib><creatorcontrib>SENZAKI KENTA</creatorcontrib><creatorcontrib>UMEGAKI CHIKA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MORI HIRONOBU</au><au>KODAKA KATSUYA</au><au>MUROZONO KYOKO</au><au>SENZAKI KENTA</au><au>UMEGAKI CHIKA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SATELLITE ATTITUDE ESTIMATION SYSTEM, SATELLITE ATTITUDE ESTIMATION METHOD AND SATELLITE ATTITUDE ESTIMATION PROGRAM</title><date>2022-10-14</date><risdate>2022</risdate><abstract>To provide a satellite attitude estimation system capable of estimating an attitude of a man-made satellite before being photographed from images obtained from photographing the man-made satellite.SOLUTION: A satellite attitude estimation system 20 includes: an identifying unit 21 which identifies a maximum pixel, which is a pixel with the largest luminance, and a minimum pixel, which is a pixel with the smallest luminance, respectively, in an infrared image which is an image taken by an infrared sensor, wherein a target satellite, which is a man-made satellite whose attitude is to be estimated, is photographed; an association unit 22 which associates the identified maximum pixel and minimum pixel with three-dimensional structural coordinates of the target satellite, respectively; a computation unit 23 which computes normal vectors for a surface including the coordinates associated with the pixels over the coordinates associated with each pixel; and a sun direction estimation unit 24 which estimates a direction of the sun relative to the target satellite before the infrared image is taken using the computed normal vectors.SELECTED DRAWING: Figure 12
【課題】人工衛星が撮像された画像から人工衛星の撮像以前の姿勢を推定できる衛星姿勢推定システムを提供する。【解決手段】衛星姿勢推定システム20は、姿勢が推定される対象の人工衛星である対象衛星が赤外線センサで撮像された画像である赤外線画像において輝度が最大の画素である最大画素と輝度が最小の画素である最小画素とをそれぞれ特定する特定部21と、特定された最大画素および最小画素に対象衛星の3次元構造上の座標をそれぞれ対応付ける対応付け部22と、画素に対応付けられた座標を含む面に対する法線ベクトルを、各画素に対応付けられた座標に渡ってそれぞれ算出する算出部23と、算出された法線ベクトルを用いて赤外線画像が撮像される前の対象衛星に対する太陽の方向を推定する太陽方向推定部24とを備える。【選択図】図12</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING MEASURING ANGLES MEASURING AREAS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS PHYSICS TESTING |
title | SATELLITE ATTITUDE ESTIMATION SYSTEM, SATELLITE ATTITUDE ESTIMATION METHOD AND SATELLITE ATTITUDE ESTIMATION PROGRAM |
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