Unmanned aerial vehicle foggy day optical image ground object identification method

Unmanned aerial vehicle foggy day optical image ground object identification method

The invention relates to the technical field of unmanned aerial vehicle foggy day identification, and discloses an unmanned aerial vehicle foggy day optical image ground object identification method, which comprises the following steps: a, image acquisition: acquiring a ground object image aerial-ph...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHOU YIFAN, WANG HANGWEI, LAI CHUNHUA, LYU HAITAO, LYU DINGZHOU
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
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 ZHOU YIFAN
WANG HANGWEI
LAI CHUNHUA
LYU HAITAO
LYU DINGZHOU
description The invention relates to the technical field of unmanned aerial vehicle foggy day identification, and discloses an unmanned aerial vehicle foggy day optical image ground object identification method, which comprises the following steps: a, image acquisition: acquiring a ground object image aerial-photographed by an unmanned aerial vehicle; b, decomposing the image: decomposing the foggy image to be processed into a basic component image and a detail component image; c, detail enhancement: performing detail enhancement processing on the detail component image; d, obtaining a grayscale image: obtaining the grayscale image Iray (x) of the detail component image after detail enhancement processing; according to the unmanned aerial vehicle foggy day optical image ground object identification method, firstly, a foggy image to be processed is decomposed into a basic component image and a detail component image, then, defogging processing is performed on a gray level image of the detail component image, detail enhanc
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116152676A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116152676A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116152676A3</originalsourceid><addsrcrecordid>eNqNyjEOgkAQRmEaC6PeYTyABRqxNkRjZaPWZNz9WcbAzAZWE24vhQewesX35tntoR2rwhOjF27pg0ZcC6othJE8j2QxiZtEOg6g0NtbPdnzBZdIPDRJPXkSU-qQGvPLbFZzO2D16yJbn0_38rJBtApDZAdFqsprnhf5flsciuPun-cLY9U4ng</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Unmanned aerial vehicle foggy day optical image ground object identification method</title><source>esp@cenet</source><creator>ZHOU YIFAN ; WANG HANGWEI ; LAI CHUNHUA ; LYU HAITAO ; LYU DINGZHOU</creator><creatorcontrib>ZHOU YIFAN ; WANG HANGWEI ; LAI CHUNHUA ; LYU HAITAO ; LYU DINGZHOU</creatorcontrib><description>The invention relates to the technical field of unmanned aerial vehicle foggy day identification, and discloses an unmanned aerial vehicle foggy day optical image ground object identification method, which comprises the following steps: a, image acquisition: acquiring a ground object image aerial-photographed by an unmanned aerial vehicle; b, decomposing the image: decomposing the foggy image to be processed into a basic component image and a detail component image; c, detail enhancement: performing detail enhancement processing on the detail component image; d, obtaining a grayscale image: obtaining the grayscale image Iray (x) of the detail component image after detail enhancement processing; according to the unmanned aerial vehicle foggy day optical image ground object identification method, firstly, a foggy image to be processed is decomposed into a basic component image and a detail component image, then, defogging processing is performed on a gray level image of the detail component image, detail enhanc</description><language>chi ; eng</language><subject>CALCULATING ; 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=20230523&amp;DB=EPODOC&amp;CC=CN&amp;NR=116152676A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230523&amp;DB=EPODOC&amp;CC=CN&amp;NR=116152676A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHOU YIFAN</creatorcontrib><creatorcontrib>WANG HANGWEI</creatorcontrib><creatorcontrib>LAI CHUNHUA</creatorcontrib><creatorcontrib>LYU HAITAO</creatorcontrib><creatorcontrib>LYU DINGZHOU</creatorcontrib><title>Unmanned aerial vehicle foggy day optical image ground object identification method</title><description>The invention relates to the technical field of unmanned aerial vehicle foggy day identification, and discloses an unmanned aerial vehicle foggy day optical image ground object identification method, which comprises the following steps: a, image acquisition: acquiring a ground object image aerial-photographed by an unmanned aerial vehicle; b, decomposing the image: decomposing the foggy image to be processed into a basic component image and a detail component image; c, detail enhancement: performing detail enhancement processing on the detail component image; d, obtaining a grayscale image: obtaining the grayscale image Iray (x) of the detail component image after detail enhancement processing; according to the unmanned aerial vehicle foggy day optical image ground object identification method, firstly, a foggy image to be processed is decomposed into a basic component image and a detail component image, then, defogging processing is performed on a gray level image of the detail component image, detail enhanc</description><subject>CALCULATING</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>eNqNyjEOgkAQRmEaC6PeYTyABRqxNkRjZaPWZNz9WcbAzAZWE24vhQewesX35tntoR2rwhOjF27pg0ZcC6othJE8j2QxiZtEOg6g0NtbPdnzBZdIPDRJPXkSU-qQGvPLbFZzO2D16yJbn0_38rJBtApDZAdFqsprnhf5flsciuPun-cLY9U4ng</recordid><startdate>20230523</startdate><enddate>20230523</enddate><creator>ZHOU YIFAN</creator><creator>WANG HANGWEI</creator><creator>LAI CHUNHUA</creator><creator>LYU HAITAO</creator><creator>LYU DINGZHOU</creator><scope>EVB</scope></search><sort><creationdate>20230523</creationdate><title>Unmanned aerial vehicle foggy day optical image ground object identification method</title><author>ZHOU YIFAN ; WANG HANGWEI ; LAI CHUNHUA ; LYU HAITAO ; LYU DINGZHOU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116152676A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHOU YIFAN</creatorcontrib><creatorcontrib>WANG HANGWEI</creatorcontrib><creatorcontrib>LAI CHUNHUA</creatorcontrib><creatorcontrib>LYU HAITAO</creatorcontrib><creatorcontrib>LYU DINGZHOU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHOU YIFAN</au><au>WANG HANGWEI</au><au>LAI CHUNHUA</au><au>LYU HAITAO</au><au>LYU DINGZHOU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Unmanned aerial vehicle foggy day optical image ground object identification method</title><date>2023-05-23</date><risdate>2023</risdate><abstract>The invention relates to the technical field of unmanned aerial vehicle foggy day identification, and discloses an unmanned aerial vehicle foggy day optical image ground object identification method, which comprises the following steps: a, image acquisition: acquiring a ground object image aerial-photographed by an unmanned aerial vehicle; b, decomposing the image: decomposing the foggy image to be processed into a basic component image and a detail component image; c, detail enhancement: performing detail enhancement processing on the detail component image; d, obtaining a grayscale image: obtaining the grayscale image Iray (x) of the detail component image after detail enhancement processing; according to the unmanned aerial vehicle foggy day optical image ground object identification method, firstly, a foggy image to be processed is decomposed into a basic component image and a detail component image, then, defogging processing is performed on a gray level image of the detail component image, detail enhanc</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116152676A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Unmanned aerial vehicle foggy day optical image ground object identification method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T07%3A14%3A33IST&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=ZHOU%20YIFAN&rft.date=2023-05-23&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116152676A%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