Methods and systems for identifying topographic features
Computer-implemented methods and systems for identifying topographic features that optimises and subsequently implements a machine learning model to automatically classify and extract topographic features from a set of target imagery are described herein. In particular, the optimised machine learnin...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Patent |
| Sprache: | 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 | Rainbow, Jacob Guy |
| description | Computer-implemented methods and systems for identifying topographic features that optimises and subsequently implements a machine learning model to automatically classify and extract topographic features from a set of target imagery are described herein. In particular, the optimised machine learning model creates heat maps from the target imagery corresponding to each class of feature, wherein the intensity of each pixel indicates whether a certain type of feature is present. The resulting heat maps are then processed to transform each pixel, specifically those identifying a topographic feature, into a geospatial vector. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US11804025B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US11804025B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US11804025B23</originalsourceid><addsrcrecordid>eNrjZLDwTS3JyE8pVkjMS1EoriwuSc0tVkjLL1LITEnNK8lMq8zMS1coyS_ITy9KLMjITFZIS00sKS1KLeZhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfGhwYaGFgYmBkamTkbGxKgBAEl_Lvw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Methods and systems for identifying topographic features</title><source>esp@cenet</source><creator>Rainbow, Jacob Guy</creator><creatorcontrib>Rainbow, Jacob Guy</creatorcontrib><description>Computer-implemented methods and systems for identifying topographic features that optimises and subsequently implements a machine learning model to automatically classify and extract topographic features from a set of target imagery are described herein. In particular, the optimised machine learning model creates heat maps from the target imagery corresponding to each class of feature, wherein the intensity of each pixel indicates whether a certain type of feature is present. The resulting heat maps are then processed to transform each pixel, specifically those identifying a topographic feature, into a geospatial vector.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DETECTING MASSES OR OBJECTS ; ELECTRIC DIGITAL DATA PROCESSING ; GEOPHYSICS ; GRAVITATIONAL MEASUREMENTS ; MEASURING ; PHYSICS ; TESTING</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&date=20231031&DB=EPODOC&CC=US&NR=11804025B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231031&DB=EPODOC&CC=US&NR=11804025B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Rainbow, Jacob Guy</creatorcontrib><title>Methods and systems for identifying topographic features</title><description>Computer-implemented methods and systems for identifying topographic features that optimises and subsequently implements a machine learning model to automatically classify and extract topographic features from a set of target imagery are described herein. In particular, the optimised machine learning model creates heat maps from the target imagery corresponding to each class of feature, wherein the intensity of each pixel indicates whether a certain type of feature is present. The resulting heat maps are then processed to transform each pixel, specifically those identifying a topographic feature, into a geospatial vector.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DETECTING MASSES OR OBJECTS</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>GEOPHYSICS</subject><subject>GRAVITATIONAL MEASUREMENTS</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLDwTS3JyE8pVkjMS1EoriwuSc0tVkjLL1LITEnNK8lMq8zMS1coyS_ITy9KLMjITFZIS00sKS1KLeZhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfGhwYaGFgYmBkamTkbGxKgBAEl_Lvw</recordid><startdate>20231031</startdate><enddate>20231031</enddate><creator>Rainbow, Jacob Guy</creator><scope>EVB</scope></search><sort><creationdate>20231031</creationdate><title>Methods and systems for identifying topographic features</title><author>Rainbow, Jacob Guy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11804025B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DETECTING MASSES OR OBJECTS</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>GEOPHYSICS</topic><topic>GRAVITATIONAL MEASUREMENTS</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>Rainbow, Jacob Guy</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rainbow, Jacob Guy</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Methods and systems for identifying topographic features</title><date>2023-10-31</date><risdate>2023</risdate><abstract>Computer-implemented methods and systems for identifying topographic features that optimises and subsequently implements a machine learning model to automatically classify and extract topographic features from a set of target imagery are described herein. In particular, the optimised machine learning model creates heat maps from the target imagery corresponding to each class of feature, wherein the intensity of each pixel indicates whether a certain type of feature is present. The resulting heat maps are then processed to transform each pixel, specifically those identifying a topographic feature, into a geospatial vector.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US11804025B2 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING DETECTING MASSES OR OBJECTS ELECTRIC DIGITAL DATA PROCESSING GEOPHYSICS GRAVITATIONAL MEASUREMENTS MEASURING PHYSICS TESTING |
| title | Methods and systems for identifying topographic features |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T23%3A46%3A31IST&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=Rainbow,%20Jacob%20Guy&rft.date=2023-10-31&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS11804025B2%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 |