{"id":"https://openalex.org/W1499324370","doi":"https://doi.org/10.1109/icip.2003.1247040","title":"Compression of digital elevation maps for fast and efficient search and retrieval","display_name":"Compression of digital elevation maps for fast and efficient search and retrieval","publication_year":2004,"publication_date":"2004-06-21","ids":{"openalex":"https://openalex.org/W1499324370","doi":"https://doi.org/10.1109/icip.2003.1247040","mag":"1499324370"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077348913","display_name":"Laura E. Boucheron","orcid":"https://orcid.org/0000-0002-8187-1566"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L.E. Boucheron","raw_affiliation_strings":["Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA","Klipsch Sch. of Electr. & Comput. Eng, New Mexico State Univ., Las Cruces, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]},{"raw_affiliation_string":"Klipsch Sch. of Electr. & Comput. Eng, New Mexico State Univ., Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110860114","display_name":"Charles D. Creusere","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.D. Creusere","raw_affiliation_strings":["Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA","Klipsch Sch. of Electr. & Comput. Eng, New Mexico State Univ., Las Cruces, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]},{"raw_affiliation_string":"Klipsch Sch. of Electr. & Comput. Eng, New Mexico State Univ., Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10052268"],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.36788253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set-partitioning-in-hierarchical-trees","display_name":"Set partitioning in hierarchical trees","score":0.8488466739654541},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.7846537828445435},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.725106418132782},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5996049046516418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5617558360099792},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5598357915878296},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.516026496887207},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47976264357566833},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.45876163244247437},{"id":"https://openalex.org/keywords/maxima","display_name":"Maxima","score":0.456562876701355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4328465759754181},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.4122995138168335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32839101552963257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3267000913619995},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2773692011833191},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13987815380096436},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12401837110519409},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08175015449523926}],"concepts":[{"id":"https://openalex.org/C136968285","wikidata":"https://www.wikidata.org/wiki/Q3246374","display_name":"Set partitioning in hierarchical trees","level":5,"score":0.8488466739654541},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7846537828445435},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.725106418132782},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5996049046516418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5617558360099792},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5598357915878296},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.516026496887207},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47976264357566833},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.45876163244247437},{"id":"https://openalex.org/C91528185","wikidata":"https://www.wikidata.org/wiki/Q520952","display_name":"Maxima","level":3,"score":0.456562876701355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4328465759754181},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.4122995138168335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32839101552963257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3267000913619995},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2773692011833191},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13987815380096436},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12401837110519409},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08175015449523926},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1247040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1564127847","https://openalex.org/W1577643861","https://openalex.org/W1585680643","https://openalex.org/W1974581749","https://openalex.org/W2142276208","https://openalex.org/W4256117910"],"related_works":["https://openalex.org/W2050191802","https://openalex.org/W2797691919","https://openalex.org/W2160559052","https://openalex.org/W1973781123","https://openalex.org/W4232457976","https://openalex.org/W2045975061","https://openalex.org/W1835819466","https://openalex.org/W2156081102","https://openalex.org/W3105193347","https://openalex.org/W2350245891"],"abstract_inverted_index":{"In":[0],"this":[1,64],"paper":[2],"we":[3],"consider":[4],"the":[5,23,43,51,67,78,81,89],"use":[6],"of":[7,28,69,80,84,94],"nonlinear":[8],"max-":[9],"and":[10,25,34,46],"min-lifted":[11,35],"integer":[12,36],"wavelets":[13,37],"encoded":[14],"using":[15],"set":[16],"partitioning":[17],"in":[18,63,88,113],"hierarchical":[19],"trees":[20],"(SPIHT)":[21],"for":[22],"compression":[24],"efficient":[26,56],"data-retrieval":[27],"digital":[29],"elevation":[30,58],"maps":[31],"(DEMs).":[32],"Max-":[33],"losslessly":[38],"code":[39],"data":[40],"such":[41,109],"that":[42],"regional":[44],"maxima":[45],"minima":[47],"are":[48,66],"preserved":[49],"at":[50],"coarsest":[52],"scale,":[53],"which":[54],"facilitates":[55],"multiresolutional":[57],"searches.":[59],"Of":[60],"particular":[61],"interest":[62],"application":[65],"effects":[68,79],"maxima/minima":[70],"propagation":[71],"between":[72],"resolution":[73],"scales,":[74],"as":[75,77,110],"well":[76],"bit-plane":[82],"layering":[83],"wavelet":[85],"coefficients":[86],"inherent":[87],"SPIHT":[90],"coder.":[91],"This":[92],"implementation":[93],"a":[95,105],"DEM":[96],"browsing":[97],"system":[98],"will":[99],"be":[100],"compared":[101],"to":[102],"one":[103],"utilizing":[104],"standard":[106],"5/3":[107],"wavelet,":[108],"is":[111],"used":[112],"JPEG2000.":[114]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}