Multi-band image generation system and method for optical satellite imagery using deep-learning network

Multi-band image generation system and method for optical satellite imagery using deep-learning network

The present invention relates to a multi-band image generation system for an optical satellite image using a deep-learning network and a method thereof. The present invention relates to technology for generating a multi-band image based on the image of a PAN band by analyzing a non-linear relationsh...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: KIM SHINWOOK, HEO HAENG PAL
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator KIM SHINWOOK
HEO HAENG PAL
description The present invention relates to a multi-band image generation system for an optical satellite image using a deep-learning network and a method thereof. The present invention relates to technology for generating a multi-band image based on the image of a PAN band by analyzing a non-linear relationship between the PAN band and each multi-band using a deep learning network. The multi-band image generation system includes: a data input part; and a model processing part. 본 발명은 딥러닝을 이용한 광학 위성영상 다중 대역 이미지 생성 시스템 및 그 방법에 관한 것으로서, 딥러닝 네트워크를 이용하여 PAN 대역과 각 다중 대역 사이의 비선형적인 관계의 분석을 수행하여, PAN 대역의 이미지를 기반으로 다중 대역 이미지를 생성할 수 있는 기술에 관한 것이다.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_KR20230060111A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>KR20230060111A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_KR20230060111A3</originalsourceid><addsrcrecordid>eNqNjUEKwjAURLtxIeodPrgupC24F1EEcSPuy7edpsE0Cckv0ttr0QO4GoY3j1lm-jpaMfmDXUtmYA3ScIgsxjtKUxIMNLMB0vuWOh_JBzENW0ossNYIvmKcaEzGaWqBkFtwdHNzkJePz3W26NgmbH65yran4_1wzhF8jRS4-dxKfbmVqqyU2qmiKPbVf6s32gNBEg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Multi-band image generation system and method for optical satellite imagery using deep-learning network</title><source>esp@cenet</source><creator>KIM SHINWOOK ; HEO HAENG PAL</creator><creatorcontrib>KIM SHINWOOK ; HEO HAENG PAL</creatorcontrib><description>The present invention relates to a multi-band image generation system for an optical satellite image using a deep-learning network and a method thereof. The present invention relates to technology for generating a multi-band image based on the image of a PAN band by analyzing a non-linear relationship between the PAN band and each multi-band using a deep learning network. The multi-band image generation system includes: a data input part; and a model processing part. 본 발명은 딥러닝을 이용한 광학 위성영상 다중 대역 이미지 생성 시스템 및 그 방법에 관한 것으로서, 딥러닝 네트워크를 이용하여 PAN 대역과 각 다중 대역 사이의 비선형적인 관계의 분석을 수행하여, PAN 대역의 이미지를 기반으로 다중 대역 이미지를 생성할 수 있는 기술에 관한 것이다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</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&amp;date=20230504&amp;DB=EPODOC&amp;CC=KR&amp;NR=20230060111A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230504&amp;DB=EPODOC&amp;CC=KR&amp;NR=20230060111A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KIM SHINWOOK</creatorcontrib><creatorcontrib>HEO HAENG PAL</creatorcontrib><title>Multi-band image generation system and method for optical satellite imagery using deep-learning network</title><description>The present invention relates to a multi-band image generation system for an optical satellite image using a deep-learning network and a method thereof. The present invention relates to technology for generating a multi-band image based on the image of a PAN band by analyzing a non-linear relationship between the PAN band and each multi-band using a deep learning network. The multi-band image generation system includes: a data input part; and a model processing part. 본 발명은 딥러닝을 이용한 광학 위성영상 다중 대역 이미지 생성 시스템 및 그 방법에 관한 것으로서, 딥러닝 네트워크를 이용하여 PAN 대역과 각 다중 대역 사이의 비선형적인 관계의 분석을 수행하여, PAN 대역의 이미지를 기반으로 다중 대역 이미지를 생성할 수 있는 기술에 관한 것이다.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjUEKwjAURLtxIeodPrgupC24F1EEcSPuy7edpsE0Cckv0ttr0QO4GoY3j1lm-jpaMfmDXUtmYA3ScIgsxjtKUxIMNLMB0vuWOh_JBzENW0ossNYIvmKcaEzGaWqBkFtwdHNzkJePz3W26NgmbH65yran4_1wzhF8jRS4-dxKfbmVqqyU2qmiKPbVf6s32gNBEg</recordid><startdate>20230504</startdate><enddate>20230504</enddate><creator>KIM SHINWOOK</creator><creator>HEO HAENG PAL</creator><scope>EVB</scope></search><sort><creationdate>20230504</creationdate><title>Multi-band image generation system and method for optical satellite imagery using deep-learning network</title><author>KIM SHINWOOK ; HEO HAENG PAL</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20230060111A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>KIM SHINWOOK</creatorcontrib><creatorcontrib>HEO HAENG PAL</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KIM SHINWOOK</au><au>HEO HAENG PAL</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Multi-band image generation system and method for optical satellite imagery using deep-learning network</title><date>2023-05-04</date><risdate>2023</risdate><abstract>The present invention relates to a multi-band image generation system for an optical satellite image using a deep-learning network and a method thereof. The present invention relates to technology for generating a multi-band image based on the image of a PAN band by analyzing a non-linear relationship between the PAN band and each multi-band using a deep learning network. The multi-band image generation system includes: a data input part; and a model processing part. 본 발명은 딥러닝을 이용한 광학 위성영상 다중 대역 이미지 생성 시스템 및 그 방법에 관한 것으로서, 딥러닝 네트워크를 이용하여 PAN 대역과 각 다중 대역 사이의 비선형적인 관계의 분석을 수행하여, PAN 대역의 이미지를 기반으로 다중 대역 이미지를 생성할 수 있는 기술에 관한 것이다.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; kor
recordid cdi_epo_espacenet_KR20230060111A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Multi-band image generation system and method for optical satellite imagery using deep-learning network
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T11%3A25%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=KIM%20SHINWOOK&rft.date=2023-05-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EKR20230060111A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true