{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T05:50:09Z","timestamp":1769061009978,"version":"3.49.0"},"reference-count":53,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T00:00:00Z","timestamp":1556323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571345, 91538101, 61501346, 61502367 and 61701360"],"award-info":[{"award-number":["61571345, 91538101, 61501346, 61502367 and 61701360"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"111 project","doi-asserted-by":"publisher","award":["B08038"],"award-info":[{"award-number":["B08038"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Yangtze River Scholar Bonus Schemes of China","award":["CJT160102"],"award-info":[{"award-number":["CJT160102"]}]},{"name":"Natural Science Basic Research Plan in Shaanxi Province of China","award":["2016JQ6023"],"award-info":[{"award-number":["2016JQ6023"]}]},{"name":"China Scholarship Counsil program","award":["201806960020"],"award-info":[{"award-number":["201806960020"]}]},{"name":"the Excellent doctoral thesis fund of Xidian University, the Innovation Fund of Xidian University, and the Fundamental Research Funds for the Central Universities","award":["JB182001"],"award-info":[{"award-number":["JB182001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Hyperspectral pansharpening is an effective technique to obtain a high spatial resolution hyperspectral (HS) image. In this paper, a new hyperspectral pansharpening algorithm based on homomorphic filtering and weighted tensor matrix (HFWT) is proposed. In the proposed HFWT method, open-closing morphological operation is utilized to remove the noise of the HS image, and homomorphic filtering is introduced to extract the spatial details of each band in the denoised HS image. More importantly, a weighted root mean squared error-based method is proposed to obtain the total spatial information of the HS image, and an optimized weighted tensor matrix based strategy is presented to integrate spatial information of the HS image with spatial information of the panchromatic (PAN) image. With the appropriate integrated spatial details injection, the fused HS image is generated by constructing the suitable gain matrix. Experimental results over both simulated and real datasets demonstrate that the proposed HFWT method effectively generates the fused HS image with high spatial resolution while maintaining the spectral information of the original low spatial resolution HS image.<\/jats:p>","DOI":"10.3390\/rs11091005","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T02:57:32Z","timestamp":1556506652000},"page":"1005","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Hyperspectral Pansharpening Based on Homomorphic Filtering and Weighted Tensor Matrix"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3925-2884","authenticated-orcid":false,"given":"Jiahui","family":"Qu","sequence":"first","affiliation":[{"name":"Joint Laboratory of High Speed Multi-Source Image Coding and Processing, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"},{"name":"State Key Lab. of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"}]},{"given":"Yunsong","family":"Li","sequence":"additional","affiliation":[{"name":"Joint Laboratory of High Speed Multi-Source Image Coding and Processing, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"},{"name":"State Key Lab. of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"}]},{"given":"Qian","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS 39762, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0692-9676","authenticated-orcid":false,"given":"Wenqian","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Lab. of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"}]},{"given":"Bobo","family":"Xi","sequence":"additional","affiliation":[{"name":"Joint Laboratory of High Speed Multi-Source Image Coding and Processing, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"},{"name":"State Key Lab. of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11273-009-9169-z","article-title":"Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review","volume":"18","author":"Adam","year":"2010","journal-title":"Wetl. 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