Item talk:Q237501

Add topic
There are no discussions on this page.

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "CreativeWork",
   "additionalType": "Conference Paper",
   "name": "Multispectral image sharpening using a shift-invariant wavelet transform and adaptive processing of multiresolution edges",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70025025",
       "url": "https://pubs.usgs.gov/publication/70025025"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70025025
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1117/12.477580",
       "url": "https://doi.org/10.1117/12.477580"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "ISSN",
       "value": "0277786X"
     }
   ],
   "inLanguage": "en",
   "datePublished": "2002",
   "dateModified": "2012-03-12",
   "abstract": "Enhanced false color images from mid-IR, near-IR (NIR), and visible bands of the Landsat thematic mapper (TM) are commonly used for visually interpreting land cover type. Described here is a technique for sharpening or fusion of NIR with higher resolution panchromatic (Pan) that uses a shift-invariant implementation of the discrete wavelet transform (SIDWT) and a reported pixel-based selection rule to combine coefficients. There can be contrast reversals (e.g., at soil-vegetation boundaries between NIR and visible band images) and consequently degraded sharpening and edge artifacts. To improve performance for these conditions, I used a local area-based correlation technique originally reported for comparing image-pyramid-derived edges for the adaptive processing of wavelet-derived edge data. Also, using the redundant data of the SIDWT improves edge data generation. There is additional improvement because sharpened subband imagery is used with the edge-correlation process. A reported technique for sharpening three-band spectral imagery used forward and inverse intensity, hue, and saturation transforms and wavelet-based sharpening of intensity. This technique had limitations with opposite contrast data, and in this study sharpening was applied to single-band multispectral-Pan image pairs. Sharpening used simulated 30-m NIR imagery produced by degrading the spatial resolution of a higher resolution reference. Performance, evaluated by comparison between sharpened and reference image, was improved when sharpened subband data were used with the edge correlation.",
   "publisher": {
     "@type": "Organization",
     "name": "U.S. Geological Survey"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Lemeshewsky, G.P.",
       "givenName": "G.P.",
       "familyName": "Lemeshewsky"
     }
   ],
   "editor": [
     {
       "@type": "Person",
       "name": "Schowengerdt, R.A.",
       "givenName": "R.A.",
       "familyName": "Schowengerdt"
     },
     {
       "@type": "Person",
       "name": "Rahman, Z.-U.",
       "givenName": "Z.-U.",
       "familyName": "Rahman"
     },
     {
       "@type": "Person",
       "name": "Reichenbach, S.E.",
       "givenName": "S.E.",
       "familyName": "Reichenbach"
     }
   ]
 },
 "OpenAlex": {
   "abstract_inverted_index": {
     "Enhanced": [
       0
     ],
     "false": [
       1
     ],
     "color": [
       2
     ],
     "images": [
       3
     ],
     "from": [
       4
     ],
     "mid-IR,": [
       5
     ],
     "near-IR": [
       6
     ],
     "(NIR),": [
       7
     ],
     "and": [
       8,
       53,
       74,
       78,
       82,
       148,
       152,
       155,
       168,
       203
     ],
     "visible": [
       9,
       75
     ],
     "bands": [
       10
     ],
     "of": [
       11,
       35,
       47,
       108,
       117,
       158,
       192
     ],
     "the": [
       12,
       48,
       105,
       114,
       118,
       135,
       189,
       215
     ],
     "Landsat": [
       13
     ],
     "thematic": [
       14
     ],
     "mapper": [
       15
     ],
     "(TM)": [
       16
     ],
     "are": [
       17
     ],
     "commonly": [
       18
     ],
     "used": [
       19,
       92,
       133,
       146,
       181,
       213
     ],
     "for": [
       20,
       31,
       88,
       100,
       104,
       141
     ],
     "visually": [
       21
     ],
     "interpreting": [
       22
     ],
     "land": [
       23
     ],
     "cover": [
       24
     ],
     "type.": [
       25
     ],
     "Described": [
       26
     ],
     "here": [
       27
     ],
     "is": [
       28,
       125,
       132
     ],
     "a": [
       29,
       44,
       54,
       93,
       193
     ],
     "technique": [
       30,
       97,
       140,
       161
     ],
     "sharpening": [
       32,
       81,
       142,
       157,
       172
     ],
     "or": [
       33
     ],
     "fusion": [
       34
     ],
     "NIR": [
       36,
       73,
       184
     ],
     "with": [
       37,
       134,
       164,
       214
     ],
     "higher": [
       38,
       194
     ],
     "resolution": [
       39,
       191,
       195
     ],
     "panchromatic": [
       40
     ],
     "(Pan)": [
       41
     ],
     "that": [
       42
     ],
     "uses": [
       43
     ],
     "shift-invariant": [
       45
     ],
     "implementation": [
       46
     ],
     "discrete": [
       49
     ],
     "wavelet": [
       50
     ],
     "transform": [
       51,
       61
     ],
     "(SIDWT)": [
       52
     ],
     "reported": [
       55,
       99,
       139
     ],
     "pixel-based": [
       56
     ],
     "selection": [
       57
     ],
     "rule": [
       58
     ],
     "to": [
       59,
       175
     ],
     "combine": [
       60
     ],
     "coefficients.": [
       62
     ],
     "There": [
       63,
       124
     ],
     "can": [
       64
     ],
     "be": [
       65
     ],
     "contrast": [
       66,
       166
     ],
     "reversals": [
       67
     ],
     "(e.g.,": [
       68
     ],
     "at": [
       69
     ],
     "soil-vegetation": [
       70
     ],
     "boundaries": [
       71
     ],
     "between": [
       72,
       201
     ],
     "band": [
       76
     ],
     "images)": [
       77
     ],
     "consequently": [
       79
     ],
     "degraded": [
       80
     ],
     "edge": [
       83,
       110,
       121,
       216
     ],
     "artifacts.": [
       84
     ],
     "To": [
       85
     ],
     "improve": [
       86
     ],
     "performance": [
       87
     ],
     "these": [
       89
     ],
     "conditions,": [
       90
     ],
     "I": [
       91
     ],
     "local": [
       94
     ],
     "area-based": [
       95
     ],
     "correlation": [
       96
     ],
     "originally": [
       98
     ],
     "comparing": [
       101
     ],
     "image-pyramid-derived": [
       102
     ],
     "edges": [
       103
     ],
     "adaptive": [
       106
     ],
     "processing": [
       107
     ],
     "wavelet-derived": [
       109
     ],
     "data.": [
       111
     ],
     "Also,": [
       112
     ],
     "using": [
       113
     ],
     "redundant": [
       115
     ],
     "data": [
       116,
       122,
       211
     ],
     "SIDWT": [
       119
     ],
     "improves": [
       120
     ],
     "generation.": [
       123
     ],
     "additional": [
       126
     ],
     "improvement": [
       127
     ],
     "because": [
       128
     ],
     "sharpened": [
       129,
       202,
       209
     ],
     "subband": [
       130,
       210
     ],
     "imagery": [
       131,
       145,
       185
     ],
     "edge-correlation": [
       136
     ],
     "process.": [
       137
     ],
     "A": [
       138
     ],
     "three-band": [
       143
     ],
     "spectral": [
       144
     ],
     "forward": [
       147
     ],
     "inverse": [
       149
     ],
     "intensity,": [
       150
     ],
     "hue,": [
       151
     ],
     "saturation": [
       153
     ],
     "transforms": [
       154
     ],
     "wavelet-based": [
       156
     ],
     "intensity.": [
       159
     ],
     "This": [
       160
     ],
     "had": [
       162
     ],
     "limitations": [
       163
     ],
     "opposite": [
       165
     ],
     "data,": [
       167
     ],
     "in": [
       169
     ],
     "this": [
       170
     ],
     "study": [
       171
     ],
     "was": [
       173,
       206
     ],
     "applied": [
       174
     ],
     "single-band": [
       176
     ],
     "multispectral-Pan": [
       177
     ],
     "image": [
       178
     ],
     "pairs.": [
       179
     ],
     "Sharpening": [
       180
     ],
     "simulated": [
       182
     ],
     "30-m": [
       183
     ],
     "produced": [
       186
     ],
     "by": [
       187,
       199
     ],
     "degrading": [
       188
     ],
     "spatial": [
       190
     ],
     "reference.": [
       196
     ],
     "Performance,": [
       197
     ],
     "evaluated": [
       198
     ],
     "comparison": [
       200
     ],
     "reference": [
       204
     ],
     "image,": [
       205
     ],
     "improved": [
       207
     ],
     "when": [
       208
     ],
     "were": [
       212
     ],
     "correlation.": [
       217
     ]
   },
   "apc_list": null,
   "apc_paid": null,
   "authorships": [
     {
       "author_position": "first",
       "author": {
         "id": "https://openalex.org/A5018794849",
         "display_name": "George P. Lemeshewsky",
         "orcid": null
       },
       "institutions": [
         {
           "id": "https://openalex.org/I1286329397",
           "display_name": "United States Geological Survey",
           "ror": "https://ror.org/035a68863",
           "country_code": "US",
           "type": "government",
           "lineage": [
             "https://openalex.org/I1286329397",
             "https://openalex.org/I1335927249"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": true,
       "raw_author_name": "George P. Lemeshewsky",
       "raw_affiliation_strings": [
         "U.S. Geological Survey, United States"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "U.S. Geological Survey, United States",
           "institution_ids": [
             "https://openalex.org/I1286329397"
           ]
         }
       ]
     }
   ],
   "best_oa_location": null,
   "biblio": {
     "volume": null,
     "issue": null,
     "first_page": null,
     "last_page": null
   },
   "citation_normalized_percentile": {
     "value": 0.92366,
     "is_in_top_1_percent": false,
     "is_in_top_10_percent": true
   },
   "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2081587813",
   "cited_by_count": 23,
   "cited_by_percentile_year": {
     "min": 87,
     "max": 88
   },
   "concepts": [
     {
       "id": "https://openalex.org/C2781137444",
       "wikidata": "https://www.wikidata.org/wiki/Q237105",
       "display_name": "Sharpening",
       "level": 2,
       "score": 0.93304956
     },
     {
       "id": "https://openalex.org/C173163844",
       "wikidata": "https://www.wikidata.org/wiki/Q1761440",
       "display_name": "Multispectral image",
       "level": 2,
       "score": 0.7642872
     },
     {
       "id": "https://openalex.org/C154945302",
       "wikidata": "https://www.wikidata.org/wiki/Q11660",
       "display_name": "Artificial intelligence",
       "level": 1,
       "score": 0.69897515
     },
     {
       "id": "https://openalex.org/C107445234",
       "wikidata": "https://www.wikidata.org/wiki/Q280995",
       "display_name": "Panchromatic film",
       "level": 3,
       "score": 0.66290236
     },
     {
       "id": "https://openalex.org/C31972630",
       "wikidata": "https://www.wikidata.org/wiki/Q844240",
       "display_name": "Computer vision",
       "level": 1,
       "score": 0.6118137
     },
     {
       "id": "https://openalex.org/C41008148",
       "wikidata": "https://www.wikidata.org/wiki/Q21198",
       "display_name": "Computer science",
       "level": 0,
       "score": 0.5483079
     },
     {
       "id": "https://openalex.org/C69744172",
       "wikidata": "https://www.wikidata.org/wiki/Q860822",
       "display_name": "Image fusion",
       "level": 3,
       "score": 0.54089826
     },
     {
       "id": "https://openalex.org/C196216189",
       "wikidata": "https://www.wikidata.org/wiki/Q2867",
       "display_name": "Wavelet transform",
       "level": 3,
       "score": 0.5312585
     },
     {
       "id": "https://openalex.org/C205372480",
       "wikidata": "https://www.wikidata.org/wiki/Q210521",
       "display_name": "Image resolution",
       "level": 2,
       "score": 0.49735668
     },
     {
       "id": "https://openalex.org/C47432892",
       "wikidata": "https://www.wikidata.org/wiki/Q831390",
       "display_name": "Wavelet",
       "level": 2,
       "score": 0.4368407
     },
     {
       "id": "https://openalex.org/C160633673",
       "wikidata": "https://www.wikidata.org/wiki/Q355198",
       "display_name": "Pixel",
       "level": 2,
       "score": 0.4252122
     },
     {
       "id": "https://openalex.org/C153180895",
       "wikidata": "https://www.wikidata.org/wiki/Q7148389",
       "display_name": "Pattern recognition (psychology)",
       "level": 2,
       "score": 0.35295784
     },
     {
       "id": "https://openalex.org/C62649853",
       "wikidata": "https://www.wikidata.org/wiki/Q199687",
       "display_name": "Remote sensing",
       "level": 1,
       "score": 0.3247804
     },
     {
       "id": "https://openalex.org/C127313418",
       "wikidata": "https://www.wikidata.org/wiki/Q1069",
       "display_name": "Geology",
       "level": 0,
       "score": 0.12432209
     },
     {
       "id": "https://openalex.org/C115961682",
       "wikidata": "https://www.wikidata.org/wiki/Q860623",
       "display_name": "Image (mathematics)",
       "level": 2,
       "score": 0.12210131
     }
   ],
   "corresponding_author_ids": [
     "https://openalex.org/A5018794849"
   ],
   "corresponding_institution_ids": [
     "https://openalex.org/I1286329397"
   ],
   "countries_distinct_count": 1,
   "counts_by_year": [
     {
       "year": 2022,
       "cited_by_count": 1
     },
     {
       "year": 2015,
       "cited_by_count": 2
     },
     {
       "year": 2013,
       "cited_by_count": 4
     },
     {
       "year": 2012,
       "cited_by_count": 1
     }
   ],
   "created_date": "2016-06-24",
   "datasets": [],
   "display_name": "<title>Multispectral image sharpening using a shift-invariant wavelet transform and adaptive processing of multiresolution edges</title>",
   "doi": "https://doi.org/10.1117/12.477580",
   "fulltext_origin": "ngrams",
   "fwci": 2.521,
   "grants": [],
   "has_fulltext": true,
   "id": "https://openalex.org/W2081587813",
   "ids": {
     "openalex": "https://openalex.org/W2081587813",
     "doi": "https://doi.org/10.1117/12.477580",
     "mag": "2081587813"
   },
   "indexed_in": [
     "crossref"
   ],
   "institutions_distinct_count": 1,
   "is_paratext": false,
   "is_retracted": false,
   "keywords": [
     {
       "id": "https://openalex.org/keywords/sharpening",
       "display_name": "Sharpening",
       "score": 0.93304956
     },
     {
       "id": "https://openalex.org/keywords/panchromatic-film",
       "display_name": "Panchromatic film",
       "score": 0.66290236
     },
     {
       "id": "https://openalex.org/keywords/pansharpening",
       "display_name": "Pansharpening",
       "score": 0.56729
     },
     {
       "id": "https://openalex.org/keywords/multispectral",
       "display_name": "Multispectral",
       "score": 0.533343
     },
     {
       "id": "https://openalex.org/keywords/image-analysis",
       "display_name": "Image Analysis",
       "score": 0.524174
     },
     {
       "id": "https://openalex.org/keywords/spectral-unmixing",
       "display_name": "Spectral Unmixing",
       "score": 0.522032
     },
     {
       "id": "https://openalex.org/keywords/change-detection",
       "display_name": "Change Detection",
       "score": 0.520951
     }
   ],
   "language": "en",
   "locations": [
     {
       "is_oa": false,
       "landing_page_url": "https://doi.org/10.1117/12.477580",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S183492911",
         "display_name": "Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE",
         "issn_l": "0277-786X",
         "issn": [
           "0277-786X",
           "1996-756X"
         ],
         "is_oa": false,
         "is_in_doaj": false,
         "is_core": true,
         "host_organization": "https://openalex.org/P4310315543",
         "host_organization_name": "SPIE",
         "host_organization_lineage": [
           "https://openalex.org/P4310315543"
         ],
         "host_organization_lineage_names": [
           "SPIE"
         ],
         "type": "journal"
       },
       "license": null,
       "license_id": null,
       "version": null,
       "is_accepted": false,
       "is_published": false
     }
   ],
   "locations_count": 1,
   "mesh": [],
   "ngrams_url": "https://api.openalex.org/works/W2081587813/ngrams",
   "open_access": {
     "is_oa": false,
     "oa_status": "closed",
     "oa_url": null,
     "any_repository_has_fulltext": false
   },
   "primary_location": {
     "is_oa": false,
     "landing_page_url": "https://doi.org/10.1117/12.477580",
     "pdf_url": null,
     "source": {
       "id": "https://openalex.org/S183492911",
       "display_name": "Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE",
       "issn_l": "0277-786X",
       "issn": [
         "0277-786X",
         "1996-756X"
       ],
       "is_oa": false,
       "is_in_doaj": false,
       "is_core": true,
       "host_organization": "https://openalex.org/P4310315543",
       "host_organization_name": "SPIE",
       "host_organization_lineage": [
         "https://openalex.org/P4310315543"
       ],
       "host_organization_lineage_names": [
         "SPIE"
       ],
       "type": "journal"
     },
     "license": null,
     "license_id": null,
     "version": null,
     "is_accepted": false,
     "is_published": false
   },
   "primary_topic": {
     "id": "https://openalex.org/T11659",
     "display_name": "Multispectral and Hyperspectral Image Fusion",
     "score": 0.9988,
     "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"
     }
   },
   "publication_date": "2002-07-31",
   "publication_year": 2002,
   "referenced_works": [],
   "referenced_works_count": 0,
   "related_works": [
     "https://openalex.org/W4254327447",
     "https://openalex.org/W2816335205",
     "https://openalex.org/W2726689079",
     "https://openalex.org/W2375311607",
     "https://openalex.org/W2368671946",
     "https://openalex.org/W2361746014",
     "https://openalex.org/W2158394102",
     "https://openalex.org/W2124952510",
     "https://openalex.org/W1930929277",
     "https://openalex.org/W1502637513"
   ],
   "sustainable_development_goals": [
     {
       "display_name": "Life on land",
       "id": "https://metadata.un.org/sdg/15",
       "score": 0.64
     }
   ],
   "title": "<title>Multispectral image sharpening using a shift-invariant wavelet transform and adaptive processing of multiresolution edges</title>",
   "topics": [
     {
       "id": "https://openalex.org/T11659",
       "display_name": "Multispectral and Hyperspectral Image Fusion",
       "score": 0.9988,
       "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/T10111",
       "display_name": "Remote Sensing in Vegetation Monitoring and Phenology",
       "score": 0.9951,
       "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/T10689",
       "display_name": "Hyperspectral Image Analysis and Classification",
       "score": 0.9878,
       "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"
       }
     }
   ],
   "type": "article",
   "type_crossref": "proceedings-article",
   "updated_date": "2024-08-13T14:41:37.730634",
   "versions": []
 }

}

Return to "Q237501" page.