{"id":"https://openalex.org/W2157545320","doi":"https://doi.org/10.1109/jstars.2009.2023915","title":"SEGSAMP: A Pixel Window Sampling Method Based on Image Segmentation","display_name":"SEGSAMP: A Pixel Window Sampling Method Based on Image Segmentation","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2157545320","doi":"https://doi.org/10.1109/jstars.2009.2023915","mag":"2157545320"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2009.2023915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2009.2023915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5081837071","display_name":"Rob Skakun","orcid":"https://orcid.org/0000-0002-3559-3606"},"institutions":[{"id":"https://openalex.org/I1280367701","display_name":"Canadian Forest Service","ror":"https://ror.org/0430zw506","country_code":"CA","type":"government","lineage":["https://openalex.org/I1280367701","https://openalex.org/I1281735042","https://openalex.org/I2802286613"]},{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rob S. Skakun","raw_affiliation_strings":["Canadian Forest Service of Natural Resources Canada, Northern Forestry Centre, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canadian Forest Service of Natural Resources Canada, Northern Forestry Centre, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I1280367701","https://openalex.org/I1281735042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011426167","display_name":"Ronald J. Hall","orcid":"https://orcid.org/0000-0002-7587-2140"},"institutions":[{"id":"https://openalex.org/I1280367701","display_name":"Canadian Forest Service","ror":"https://ror.org/0430zw506","country_code":"CA","type":"government","lineage":["https://openalex.org/I1280367701","https://openalex.org/I1281735042","https://openalex.org/I2802286613"]},{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ronald J. Hall","raw_affiliation_strings":["Canadian Forest Service of Natural Resources Canada, Northern Forestry Centre, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canadian Forest Service of Natural Resources Canada, Northern Forestry Centre, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I1280367701","https://openalex.org/I1281735042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13874807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"2","first_page":"96","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8164106607437134},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6207971572875977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.550888180732727},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.49675875902175903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4811464548110962},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45118317008018494},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4377906322479248},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42943570017814636},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4256740212440491},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.42525067925453186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3805696368217468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.330196738243103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3160397410392761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20099997520446777},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13698133826255798},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.09865295886993408}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8164106607437134},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6207971572875977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.550888180732727},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.49675875902175903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4811464548110962},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45118317008018494},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4377906322479248},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42943570017814636},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4256740212440491},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.42525067925453186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3805696368217468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.330196738243103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3160397410392761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20099997520446777},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13698133826255798},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.09865295886993408},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2009.2023915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2009.2023915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1578104358","https://openalex.org/W1637090577","https://openalex.org/W1970685828","https://openalex.org/W1974092530","https://openalex.org/W1974734701","https://openalex.org/W1997820532","https://openalex.org/W1999659160","https://openalex.org/W2001231390","https://openalex.org/W2007176509","https://openalex.org/W2009413360","https://openalex.org/W2016688866","https://openalex.org/W2031121663","https://openalex.org/W2031305957","https://openalex.org/W2034523120","https://openalex.org/W2046260516","https://openalex.org/W2058533675","https://openalex.org/W2060356694","https://openalex.org/W2061804983","https://openalex.org/W2070411340","https://openalex.org/W2088904279","https://openalex.org/W2091041426","https://openalex.org/W2094361532","https://openalex.org/W2098805041","https://openalex.org/W2119175622","https://openalex.org/W2122876287","https://openalex.org/W2123932570","https://openalex.org/W2129117679","https://openalex.org/W2136408258","https://openalex.org/W2137703881","https://openalex.org/W2138860708","https://openalex.org/W2143682935","https://openalex.org/W2143746851","https://openalex.org/W2145448441","https://openalex.org/W2157929592","https://openalex.org/W2158146262","https://openalex.org/W2161273109","https://openalex.org/W2166234440","https://openalex.org/W2187641570","https://openalex.org/W2262808739","https://openalex.org/W2343125117","https://openalex.org/W2478844247","https://openalex.org/W4241280797","https://openalex.org/W6634510485","https://openalex.org/W6687080806","https://openalex.org/W6704273080"],"related_works":["https://openalex.org/W2245242553","https://openalex.org/W4285411112","https://openalex.org/W3041711126","https://openalex.org/W2085033728","https://openalex.org/W1981338710","https://openalex.org/W2171299904","https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272"],"abstract_inverted_index":{"Pixel":[0],"windows":[1,209,239],"are":[2,20,71,168],"often":[3],"used":[4,195],"to":[5,22,73,94,125,162,196],"average":[6],"the":[7,14,45,52,63,88,108,152,176,179],"image":[8,64,113,122,177],"spectral":[9,38,47,69],"response":[10,48],"values":[11,39,70,128,199,217],"that":[12,80,134,167,206],"represent":[13],"area":[15,35],"over":[16],"which":[17,161,192],"field":[18,74,109,145],"measurements":[19,76],"collected":[21],"estimate":[23],"biophysical":[24,53,141],"parameters":[25,142],"such":[26],"as":[27],"forest":[28],"stand":[29,223],"structure,":[30],"aboveground":[31],"biomass,":[32],"and":[33,55,65,100,103,112,157,175,225],"leaf":[34],"index.":[36],"Averaging":[37],"within":[40,129,169],"a":[41,95,130,155,170,187],"pixel":[42,127,172,189,198,208],"window":[43,133,173,190],"ensures":[44],"resulting":[46],"is":[49,90,181],"representative":[50,139],"of":[51,140,215,222],"parameter,":[54],"reduces":[56],"sampling":[57,123,132],"error":[58],"from":[59,144,160,200,237],"spatial":[60],"mis-registrations":[61],"between":[62,107],"plot":[66,75,89,180],"locations.":[67],"These":[68],"related":[72],"through":[77],"empirical":[78],"models":[79,212],"may":[81],"result":[82],"in":[83,148,211],"poor":[84],"estimates":[85],"if":[86],"(a)":[87],"located":[91],"too":[92],"close":[93],"spectrally":[96,138],"different":[97],"land":[98],"feature;":[99],"(b)":[101],"natural":[102],"human-caused":[104],"disturbance":[105],"occurs":[106],"data":[110],"collection":[111],"acquisition.":[114],"This":[115],"paper":[116],"introduces":[117],"SEGSAMP":[118],"(SEGmentation":[119],"SAMPle),":[120],"an":[121],"method":[124,153],"extract":[126,197],"segmented":[131,188,207],"would":[135],"be":[136,194],"more":[137],"measured":[143],"plots.":[146],"Written":[147],"Arc":[149],"Macro":[150],"Language,":[151],"uses":[154],"point":[156],"polygon":[158],"shapefile":[159],"sample":[163],"only":[164],"those":[165],"pixels":[166],"defined":[171],"size":[174],"segment":[178],"contained":[182],"in.":[183],"The":[184],"output":[185],"forms":[186],"grid,":[191],"can":[193],"imagery.":[201],"A":[202],"case-study":[203],"application":[204],"demonstrates":[205],"resulted":[210],"whose":[213],"coefficient":[214],"determination":[216],"were":[218],"higher":[219],"for":[220],"prediction":[221],"height":[224],"crown":[226,232,244],"closure":[227,233,245],"(height":[228,240],"Radj2=":[229,234,241,246],"0.65":[230],";":[231,243],"0.57)":[235],"than":[236],"square":[238],"0.57":[242],"0.48).":[247]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
