{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:52Z","timestamp":1750220392351,"version":"3.41.0"},"reference-count":27,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T00:00:00Z","timestamp":1649289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["J. Comput. Cult. Herit."],"published-print":{"date-parts":[[2022,6,30]]},"abstract":"<jats:p>\n            Dropped frames can occur in line-scan cameras, which result in non-uniform spatial sampling of the scene. A dropped frame occurs when data from an image sensor is not successfully recorded. When mosaicking multiple line-scan images, such as in high-resolution imaging, this can cause misalignment. Much previous work to identify dropped frames in video prioritises fast computation over high accuracy, whereas in heritage imaging, high accuracy is often preferred over short computation time. Two approaches to identify the position of dropped frames are presented, both using the A* search algorithm to correct dropped frames. One method aligns overlapping sections of push-broom images and the other aligns the push-broom image to a lower resolution reference image. The two methods are compared across a range of test images, and the method aligning overlapping sections is shown to perform better than the method using a reference image under most circumstances. The overlap method was applied to hyperspectral images acquired of\n            <jats:italic>La Ghirlandata,<\/jats:italic>\n            an 1873 oil on canvas painting by D. G. Rossetti, enabling a high-resolution hyperspectral image mosaic to be produced. The resulting composite image is 10,875\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\( \\times \\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            14,697 pixels each with 500 spectral bands from 400\u20132,500 nm. This corresponds to a spatial resolution of\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\( 80 \\,\\mathrm{\\upmu }\\mathrm{m} \\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            and a spectral resolution of 3\u20136 nm.\n          <\/jats:p>","DOI":"10.1145\/3479011","type":"journal-article","created":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T06:25:06Z","timestamp":1649399106000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Correction of Dropped Frames in High-resolution Push-broom Hyperspectral Images for Cultural Heritage"],"prefix":"10.1145","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6856-9242","authenticated-orcid":false,"given":"Charlie","family":"Willard","sequence":"first","affiliation":[{"name":"University College London, London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nancy","family":"Wade","sequence":"additional","affiliation":[{"name":"Guildhall Art Gallery, City of London, London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9036-9773","authenticated-orcid":false,"given":"Matija","family":"Strli\u010d","sequence":"additional","affiliation":[{"name":"University College London, London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John R.","family":"Gilchrist","sequence":"additional","affiliation":[{"name":"Clyde Hyperspectral Imaging and Technology, Clydebank"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4322-8844","authenticated-orcid":false,"given":"Tim","family":"Weyrich","sequence":"additional","affiliation":[{"name":"University College London, London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9650-5983","authenticated-orcid":false,"given":"Adam","family":"Gibson","sequence":"additional","affiliation":[{"name":"University College London, London"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,7]]},"reference":[{"key":"e_1_3_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs3030570"},{"key":"e_1_3_1_3_1","doi-asserted-by":"crossref","first-page":"73340H","DOI":"10.1117\/12.818929","volume-title":"Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV","author":"Bodkin Andrew","year":"2009","unstructured":"Andrew Bodkin, A. 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