Remote sensing image multi-class target counting method based on point positioning

The invention aims at the field of target counting and target positioning in remote sensing images, and discloses a remote sensing image multi-class target counting method based on point positioning. Firstly, features in a remote sensing image are extracted by using a feature extractor, then rough p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHEN ZHENZHONG, CUI MINGPENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
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 CHEN ZHENZHONG
CUI MINGPENG
description The invention aims at the field of target counting and target positioning in remote sensing images, and discloses a remote sensing image multi-class target counting method based on point positioning. Firstly, features in a remote sensing image are extracted by using a feature extractor, then rough prediction of a target scale in the remote sensing image is completed through a scale adaptive feature enhancement module, and image features are fused and enhanced; and using a prediction head to predict the position, category, confidence and fine scale of the target in the image, and generating a candidate target corresponding to the remote sensing image. The candidate targets comprise repeated prediction of the same target, so that the candidate targets cannot be directly used as prediction results of counting and positioning of multiple types of targets. By using a non-maximum suppression post-processing means on the candidate targets, wrong prediction targets and repeated prediction targets in the candidate tar
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116402754A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116402754A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116402754A3</originalsourceid><addsrcrecordid>eNqNyjEOwjAMQNEsDAi4gzlAJQoFZlSBmBgq9sqkJkRK7Ai796dIHIDl_-XNXddRFiNQYo0cIGYMBHlMFiufUBUM34EMvIxsX5HJXjLAA5UGEIYikW2qRovCk1i62ROT0ur3hVtfzvf2WlGRnrSgJybr21tdH5rN9rhvTrt_zAdEfThx</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Remote sensing image multi-class target counting method based on point positioning</title><source>esp@cenet</source><creator>CHEN ZHENZHONG ; CUI MINGPENG</creator><creatorcontrib>CHEN ZHENZHONG ; CUI MINGPENG</creatorcontrib><description>The invention aims at the field of target counting and target positioning in remote sensing images, and discloses a remote sensing image multi-class target counting method based on point positioning. Firstly, features in a remote sensing image are extracted by using a feature extractor, then rough prediction of a target scale in the remote sensing image is completed through a scale adaptive feature enhancement module, and image features are fused and enhanced; and using a prediction head to predict the position, category, confidence and fine scale of the target in the image, and generating a candidate target corresponding to the remote sensing image. The candidate targets comprise repeated prediction of the same target, so that the candidate targets cannot be directly used as prediction results of counting and positioning of multiple types of targets. By using a non-maximum suppression post-processing means on the candidate targets, wrong prediction targets and repeated prediction targets in the candidate tar</description><language>chi ; eng</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=20230707&amp;DB=EPODOC&amp;CC=CN&amp;NR=116402754A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230707&amp;DB=EPODOC&amp;CC=CN&amp;NR=116402754A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN ZHENZHONG</creatorcontrib><creatorcontrib>CUI MINGPENG</creatorcontrib><title>Remote sensing image multi-class target counting method based on point positioning</title><description>The invention aims at the field of target counting and target positioning in remote sensing images, and discloses a remote sensing image multi-class target counting method based on point positioning. Firstly, features in a remote sensing image are extracted by using a feature extractor, then rough prediction of a target scale in the remote sensing image is completed through a scale adaptive feature enhancement module, and image features are fused and enhanced; and using a prediction head to predict the position, category, confidence and fine scale of the target in the image, and generating a candidate target corresponding to the remote sensing image. The candidate targets comprise repeated prediction of the same target, so that the candidate targets cannot be directly used as prediction results of counting and positioning of multiple types of targets. By using a non-maximum suppression post-processing means on the candidate targets, wrong prediction targets and repeated prediction targets in the candidate tar</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>eNqNyjEOwjAMQNEsDAi4gzlAJQoFZlSBmBgq9sqkJkRK7Ai796dIHIDl_-XNXddRFiNQYo0cIGYMBHlMFiufUBUM34EMvIxsX5HJXjLAA5UGEIYikW2qRovCk1i62ROT0ur3hVtfzvf2WlGRnrSgJybr21tdH5rN9rhvTrt_zAdEfThx</recordid><startdate>20230707</startdate><enddate>20230707</enddate><creator>CHEN ZHENZHONG</creator><creator>CUI MINGPENG</creator><scope>EVB</scope></search><sort><creationdate>20230707</creationdate><title>Remote sensing image multi-class target counting method based on point positioning</title><author>CHEN ZHENZHONG ; CUI MINGPENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116402754A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</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>CHEN ZHENZHONG</creatorcontrib><creatorcontrib>CUI MINGPENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN ZHENZHONG</au><au>CUI MINGPENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Remote sensing image multi-class target counting method based on point positioning</title><date>2023-07-07</date><risdate>2023</risdate><abstract>The invention aims at the field of target counting and target positioning in remote sensing images, and discloses a remote sensing image multi-class target counting method based on point positioning. Firstly, features in a remote sensing image are extracted by using a feature extractor, then rough prediction of a target scale in the remote sensing image is completed through a scale adaptive feature enhancement module, and image features are fused and enhanced; and using a prediction head to predict the position, category, confidence and fine scale of the target in the image, and generating a candidate target corresponding to the remote sensing image. The candidate targets comprise repeated prediction of the same target, so that the candidate targets cannot be directly used as prediction results of counting and positioning of multiple types of targets. By using a non-maximum suppression post-processing means on the candidate targets, wrong prediction targets and repeated prediction targets in the candidate tar</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116402754A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Remote sensing image multi-class target counting method based on point positioning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T02%3A12%3A36IST&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=CHEN%20ZHENZHONG&rft.date=2023-07-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116402754A%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