{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T08:17:36Z","timestamp":1778401056703,"version":"3.51.4"},"reference-count":37,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T00:00:00Z","timestamp":1668988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Special Fund for High-Resolution Images Surveying and Mapping Application System","award":["42-Y30B04-9001-19\/21"],"award-info":[{"award-number":["42-Y30B04-9001-19\/21"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>ZY1-02D is a Chinese hyperspectral satellite, which is equipped with a visible near-infrared multispectral camera and a hyperspectral camera. Its data are widely used in soil quality assessment, mineral mapping, water quality assessment, etc. However, due to the limitations of CCD design, the swath of hyperspectral data is relatively smaller than multispectral data. In addition, stripe noise and collages exist in hyperspectral data. With the contamination brought by clouds appearing in the scene, the availability is further affected. In order to solve these problems, this article used a swath reconstruction method of a spectral-resolution-enhancement method using ResNet (SRE-ResNet), which is to use wide swath multispectral data to reconstruct hyperspectral data through modeling mappings between the two. Experiments show that the method (1) can effectively reconstruct wide swaths of hyperspectral data, (2) can remove noise existing in the hyperspectral data, and (3) is resistant to registration error. Comparison experiments also show that SRE-ResNet outperforms existing fusion methods in both accuracy and time efficiency; thus, the method is suitable for practical application.<\/jats:p>","DOI":"10.3390\/rs14225890","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T04:33:32Z","timestamp":1669005212000},"page":"5890","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Registration-Error-Resistant Swath Reconstruction Method of ZY1-02D Satellite Hyperspectral Data Using SRE-ResNet"],"prefix":"10.3390","volume":"14","author":[{"given":"Mingyuan","family":"Peng","sequence":"first","affiliation":[{"name":"Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2566-3076","authenticated-orcid":false,"given":"Chen","family":"Ma","sequence":"additional","affiliation":[{"name":"Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China"},{"name":"The School of Astronautics, Harbin Institute of Technology, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3533-9966","authenticated-orcid":false,"given":"Lifu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Zhang","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Shang","sequence":"additional","affiliation":[{"name":"Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/MSP.2013.2279179","article-title":"Advances in hyperspectral image classification","volume":"31","author":"Tuia","year":"2014","journal-title":"IEEE Signal Process. 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