{"id":"https://openalex.org/W2099257064","doi":"https://doi.org/10.1109/igarss.2004.1369064","title":"Impacts of lossy compression on hyperspectral products for forestry","display_name":"Impacts of lossy compression on hyperspectral products for forestry","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2099257064","doi":"https://doi.org/10.1109/igarss.2004.1369064","mag":"2099257064"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1369064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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":null,"display_name":"Andrew Dyk David G. Goodenough","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109166","display_name":"Canadian Sport Centre Pacific","ror":"https://ror.org/01vvmvv13","country_code":"CA","type":"other","lineage":["https://openalex.org/I4210109166"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Andrew Dyk David G. Goodenough","raw_affiliation_strings":["Pacific Forestry Centre, Natural Resources Canada, Victoria, BC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Forestry Centre, Natural Resources Canada, Victoria, BC","institution_ids":["https://openalex.org/I4210109166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210109166"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"465","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9980999827384949,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9887999892234802,"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/lossy-compression","display_name":"Lossy compression","score":0.9552826881408691},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8768191337585449},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6780819892883301},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6211518049240112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5772321820259094},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5764241218566895},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.48126572370529175},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2870781421661377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2617591619491577},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0699499249458313}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9552826881408691},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8768191337585449},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6780819892883301},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6211518049240112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5772321820259094},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5764241218566895},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48126572370529175},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2870781421661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2617591619491577},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0699499249458313},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1369064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W802288193","https://openalex.org/W2010319424","https://openalex.org/W2106499350","https://openalex.org/W2147928240","https://openalex.org/W2151650368","https://openalex.org/W2162003648","https://openalex.org/W2164720626","https://openalex.org/W6682413639"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1970394887","https://openalex.org/W755971114","https://openalex.org/W2118338613","https://openalex.org/W1982468865","https://openalex.org/W4313046148"],"abstract_inverted_index":{"Hyperspectral":[0,65],"data":[1,7,48,81,84,94],"from":[2,8],"satellites":[3],"are":[4,150],"voluminous.":[5],"Satellite":[6],"a":[9,41,137],"hyperspectral":[10,143],"sensor":[11],"can":[12,39],"be":[13,40,50],"transmitted":[14],"at":[15,22],"either":[16],"Ka-band":[17],"rates":[18,24],"without":[19],"compression":[20,27,35,78,100,133,155],"or":[21],"X-band":[23],"with":[25,90,123,152],"lossy":[26,34,61,77,132,154],"through":[28],"links":[29],"to":[30,49,76,83,95],"ground":[31],"stations.":[32],"If":[33],"is":[36,73],"used,":[37],"there":[38],"10:1":[42,131],"reduction":[43],"in":[44,139,142],"the":[45,80,97,118],"amount":[46],"of":[47,79,99,120],"transmitted.":[51],"The":[52,127],"Canadian":[53],"Space":[54],"Agency":[55],"(CSA)":[56],"has":[57],"developed":[58],"algorithms":[59],"for":[60,112,145],"compression.":[62],"For":[63],"Canada's":[64],"satellite":[66],"HERO":[67],"(Hyperspectral":[68],"Earth":[69],"Resource":[70],"Observer),":[71],"consideration":[72],"being":[74],"given":[75,151],"prior":[82],"transmission.":[85],"Experiments":[86],"have":[87,107],"been":[88],"conducted":[89],"Hyperion":[91],"and":[92],"AVIRIS":[93],"assess":[96],"impacts":[98],"on":[101],"forest":[102,109,113,146],"information":[103,140,147],"products.":[104,148],"These":[105],"assessments":[106],"included":[108],"classification":[110],"products":[111],"inventory.":[114],"This":[115],"paper":[116],"presents":[117],"results":[119,128],"these":[121],"experiments":[122],"multiple":[124],"analysis":[125],"methods.":[126],"indicate":[129],"that":[130],"produces":[134],"too":[135],"large":[136],"loss":[138],"content":[141],"imagery":[144],"Comparisons":[149],"other":[153],"methods":[156]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}