Towards automatic detection of coastlines from satellite imagery
An approach towards automatic coastline detection from satellite imagery through edge detection techniques is presented. Linear transformations, such as Gaussian filtering and nonlinear transformations, such as median, adaptive and morphological filtering, are combined towards image smoothing and en...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 900 vol.2 |
|---|---|
| container_issue | |
| container_start_page | 897 |
| container_title | |
| container_volume | 2 |
| creator | Karantzalos, K.G. Argialas, D. Georgopoulos, A. |
| description | An approach towards automatic coastline detection from satellite imagery through edge detection techniques is presented. Linear transformations, such as Gaussian filtering and nonlinear transformations, such as median, adaptive and morphological filtering, are combined towards image smoothing and enhancement. Two edge detectors are applied, a morphological Laplacian operator and the classical Canny threshold detector. The coastline connectivity is recovered with a combination of nonlinear morphological transformations. The results appear promising. |
| doi_str_mv | 10.1109/ICDSP.2002.1028235 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1028235</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1028235</ieee_id><sourcerecordid>1028235</sourcerecordid><originalsourceid>FETCH-ieee_primary_10282353</originalsourceid><addsrcrecordid>eNp9jr0KwjAURgMi-NcX0CUvYL1JWlI3oSq6FexeQnsrkbSRJCJ9ezt09lvOcM7wEbJlEDMGx8M9Pz-KmAPwmAHPuEhnZAUyAyFTEGJBIu9fMC5Jk0zKJTmV9qtc46n6BNupoGvaYMA6aNtT29LaKh-M7tHT1tmOehXQGB2Q6k490Q0bMm-V8RhNXJPd9VLmt71GxOrtxswN1XRG_Lc_MoY5sg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Towards automatic detection of coastlines from satellite imagery</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Karantzalos, K.G. ; Argialas, D. ; Georgopoulos, A.</creator><creatorcontrib>Karantzalos, K.G. ; Argialas, D. ; Georgopoulos, A.</creatorcontrib><description>An approach towards automatic coastline detection from satellite imagery through edge detection techniques is presented. Linear transformations, such as Gaussian filtering and nonlinear transformations, such as median, adaptive and morphological filtering, are combined towards image smoothing and enhancement. Two edge detectors are applied, a morphological Laplacian operator and the classical Canny threshold detector. The coastline connectivity is recovered with a combination of nonlinear morphological transformations. The results appear promising.</description><identifier>ISBN: 0780375033</identifier><identifier>ISBN: 9780780375031</identifier><identifier>DOI: 10.1109/ICDSP.2002.1028235</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive filters ; Data mining ; Detectors ; Filtering ; Image edge detection ; Image resolution ; Nonlinear filters ; Remote sensing ; Satellites ; Smoothing methods</subject><ispartof>2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2002, Vol.2, p.897-900 vol.2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1028235$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1028235$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Karantzalos, K.G.</creatorcontrib><creatorcontrib>Argialas, D.</creatorcontrib><creatorcontrib>Georgopoulos, A.</creatorcontrib><title>Towards automatic detection of coastlines from satellite imagery</title><title>2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)</title><addtitle>ICDSP</addtitle><description>An approach towards automatic coastline detection from satellite imagery through edge detection techniques is presented. Linear transformations, such as Gaussian filtering and nonlinear transformations, such as median, adaptive and morphological filtering, are combined towards image smoothing and enhancement. Two edge detectors are applied, a morphological Laplacian operator and the classical Canny threshold detector. The coastline connectivity is recovered with a combination of nonlinear morphological transformations. The results appear promising.</description><subject>Adaptive filters</subject><subject>Data mining</subject><subject>Detectors</subject><subject>Filtering</subject><subject>Image edge detection</subject><subject>Image resolution</subject><subject>Nonlinear filters</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Smoothing methods</subject><isbn>0780375033</isbn><isbn>9780780375031</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jr0KwjAURgMi-NcX0CUvYL1JWlI3oSq6FexeQnsrkbSRJCJ9ezt09lvOcM7wEbJlEDMGx8M9Pz-KmAPwmAHPuEhnZAUyAyFTEGJBIu9fMC5Jk0zKJTmV9qtc46n6BNupoGvaYMA6aNtT29LaKh-M7tHT1tmOehXQGB2Q6k490Q0bMm-V8RhNXJPd9VLmt71GxOrtxswN1XRG_Lc_MoY5sg</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Karantzalos, K.G.</creator><creator>Argialas, D.</creator><creator>Georgopoulos, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>Towards automatic detection of coastlines from satellite imagery</title><author>Karantzalos, K.G. ; Argialas, D. ; Georgopoulos, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_10282353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adaptive filters</topic><topic>Data mining</topic><topic>Detectors</topic><topic>Filtering</topic><topic>Image edge detection</topic><topic>Image resolution</topic><topic>Nonlinear filters</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Smoothing methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Karantzalos, K.G.</creatorcontrib><creatorcontrib>Argialas, D.</creatorcontrib><creatorcontrib>Georgopoulos, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Karantzalos, K.G.</au><au>Argialas, D.</au><au>Georgopoulos, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Towards automatic detection of coastlines from satellite imagery</atitle><btitle>2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)</btitle><stitle>ICDSP</stitle><date>2002</date><risdate>2002</risdate><volume>2</volume><spage>897</spage><epage>900 vol.2</epage><pages>897-900 vol.2</pages><isbn>0780375033</isbn><isbn>9780780375031</isbn><abstract>An approach towards automatic coastline detection from satellite imagery through edge detection techniques is presented. Linear transformations, such as Gaussian filtering and nonlinear transformations, such as median, adaptive and morphological filtering, are combined towards image smoothing and enhancement. Two edge detectors are applied, a morphological Laplacian operator and the classical Canny threshold detector. The coastline connectivity is recovered with a combination of nonlinear morphological transformations. The results appear promising.</abstract><pub>IEEE</pub><doi>10.1109/ICDSP.2002.1028235</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 0780375033 |
| ispartof | 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2002, Vol.2, p.897-900 vol.2 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_1028235 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive filters Data mining Detectors Filtering Image edge detection Image resolution Nonlinear filters Remote sensing Satellites Smoothing methods |
| title | Towards automatic detection of coastlines from satellite imagery |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T09%3A09%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Towards%20automatic%20detection%20of%20coastlines%20from%20satellite%20imagery&rft.btitle=2002%2014th%20International%20Conference%20on%20Digital%20Signal%20Processing%20Proceedings.%20DSP%202002%20(Cat.%20No.02TH8628)&rft.au=Karantzalos,%20K.G.&rft.date=2002&rft.volume=2&rft.spage=897&rft.epage=900%20vol.2&rft.pages=897-900%20vol.2&rft.isbn=0780375033&rft.isbn_list=9780780375031&rft_id=info:doi/10.1109/ICDSP.2002.1028235&rft_dat=%3Cieee_6IE%3E1028235%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1028235&rfr_iscdi=true |