{"id":"https://openalex.org/W2162500102","doi":"https://doi.org/10.1109/igarss.2002.1026109","title":"Knowledge based approach for automated digital image processing","display_name":"Knowledge based approach for automated digital image processing","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2162500102","doi":"https://doi.org/10.1109/igarss.2002.1026109","mag":"2162500102"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1026109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025369179","display_name":"Ramesh Babu Inampudi","orcid":null},"institutions":[{"id":"https://openalex.org/I177001074","display_name":"Acharya Nagarjuna University","ror":"https://ror.org/02mfapa96","country_code":"IN","type":"education","lineage":["https://openalex.org/I177001074"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R.B. Inampudi","raw_affiliation_strings":["Department of Computer Science & Engineering, Nagarjuna University, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Nagarjuna University, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I177001074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021169985","display_name":"Swaroop Guntupalli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S.P. Guntupalli","raw_affiliation_strings":["Department of Computer Science, JKC College, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, JKC College, Guntur, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065060835","display_name":"Anusha Rao","orcid":"https://orcid.org/0000-0002-9289-398X"},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.A. Rao","raw_affiliation_strings":["Dept of Computer Science & Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science & Systems Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India","institution_ids":["https://openalex.org/I100887729"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025369179"],"corresponding_institution_ids":["https://openalex.org/I177001074"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22062799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1340","last_page":"1342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823281288146973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6748733520507812},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6432498693466187},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6372519135475159},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5316465497016907},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.49066174030303955},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44699230790138245},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42279738187789917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4162617325782776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38498982787132263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823281288146973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6748733520507812},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6432498693466187},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6372519135475159},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5316465497016907},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.49066174030303955},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44699230790138245},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42279738187789917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4162617325782776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38498982787132263}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1026109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Automatic":[0],"interpretation":[1,62],"of":[2,34,49,93,145,156,178],"digital":[3,60],"images":[4],"is":[5,159,209],"a":[6,82,105,129,137,142,150,210],"difficult":[7],"task.":[8],"In":[9,72],"this":[10,73,157,200],"paper,":[11],"we":[12,202],"have":[13,135],"proposed":[14,101,189,206],"knowledge":[15,38,69,87,110],"based":[16,70,88],"approach":[17,212],"for":[18,174,213],"Landsat":[19,106,197,214],"image":[20,27,35,61,64,107,181,215],"segmentation":[21,89],"and":[22,42,68,122,133],"interpreted":[23],"without":[24],"any":[25],"prior":[26,124],"dependent":[28,119],"information.":[29],"It":[30],"includes":[31],"an":[32],"integration":[33],"processing":[36],"techniques,":[37],"from":[39],"domain":[40],"experts":[41],"ancillary":[43],"information":[44,126],"such":[45],"as":[46],"previous":[47],"maps":[48],"the":[50,100,123,176,188,205],"study":[51],"area.":[52],"We":[53],"discuss":[54],"three":[55],"important":[56],"issues":[57],"in":[58,81,162,194],"automatic":[59],"are":[63,79],"registration,":[65],"road":[66],"detection":[67],"segmentation.":[71,131,216],"study,":[74,201],"major":[75],"land":[76],"cover":[77],"types":[78],"organized":[80],"hierarchical":[83,207],"structure.":[84],"A":[85],"complete":[86,130],"technique":[90,151],"may":[91],"consist":[92],"two":[94],"stages.":[95],"The":[96,112,183],"first":[97],"stage":[98,114],"uses":[99],"method":[102,158,190,208],"to":[103,127,165],"segment":[104],"by":[108],"spectral":[109],"rules.":[111],"second":[113],"then":[115],"collects":[116],"more":[117],"area":[118],"spatial":[120],"rules":[121],"map":[125],"perform":[128],"Nagao":[132],"Mastuyama":[134],"developed":[136],"knowledge-based":[138],"system,":[139],"which":[140],"performs":[141],"structural":[143],"analysis":[144],"complex":[146],"aerial":[147],"photographs":[148],"using":[149],"called":[152],"segmentation-by-recognition.":[153],"One":[154],"advantage":[155],"its":[160],"flexibility":[161],"applying":[163],"it":[164],"geo":[166],"graphically":[167],"different":[168],"areas.":[169],"This":[170],"work":[171],"develops":[172],"techniques":[173],"automating":[175],"process":[177],"IRS":[179],"LISS-III":[180],"interpretation.":[182],"experimental":[184],"results":[185],"show":[186],"that":[187,204],"can":[191],"be":[192],"successful":[193],"segmenting":[195],"complicated":[196],"image.":[198],"Through":[199],"believe":[203],"promising":[211]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}