Item talk:Q237501
From geokb
{
"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. 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