{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T14:22:54Z","timestamp":1762093374800,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFC2803300"],"award-info":[{"award-number":["2021YFC2803300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Antarctic Geographic Information Investigation","award":["2021YFC2803300"],"award-info":[{"award-number":["2021YFC2803300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Antarctic mapping with satellite images is an important basic task for polar environmental monitoring. Since the first Chinese marine satellite was launched in 2002, China has formed three series of more than 10 marine satellites in orbit. As global operational monitoring satellites of ocean color series, HY-1C and HY-1D have good coverage characteristics and imaging performance in polar regions, and they provide an effective tool for Antarctic monitoring and mapping. In this paper, Antarctic images acquired by the HY-1 satellite Coastal Zone Imager (CZI) sensor were used to study color matching in the mosaic process. According to the CZI characteristics for Antarctic imaging, experiments were carried out on the illuminance nonuniformity of a single image and color registration of multiple images. A gray-level segmentation color-matching method is proposed to solve the problem of image overstretching in the Antarctic image color-matching process. The results and statistical analysis show that the proposed method can effectively eliminate the color deviation between HY-1 Antarctic images, and the mosaic results have a good effect.<\/jats:p>","DOI":"10.3390\/rs15184399","type":"journal-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T10:09:50Z","timestamp":1694081390000},"page":"4399","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Color Matching Method for Mosaic HY-1 Satellite Images in Antarctica"],"prefix":"10.3390","volume":"15","author":[{"given":"Tao","family":"Zeng","sequence":"first","affiliation":[{"name":"National Satellite Ocean Application Service, Beijing 100081, China"},{"name":"Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1046-3984","authenticated-orcid":false,"given":"Lijian","family":"Shi","sequence":"additional","affiliation":[{"name":"National Satellite Ocean Application Service, Beijing 100081, China"},{"name":"Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China"}]},{"given":"Lei","family":"Huang","sequence":"additional","affiliation":[{"name":"National Satellite Ocean Application Service, Beijing 100081, China"},{"name":"Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Satellite Ocean Application Service, Beijing 100081, China"},{"name":"Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China"}]},{"given":"Haitian","family":"Zhu","sequence":"additional","affiliation":[{"name":"National Satellite Ocean Application Service, Beijing 100081, China"},{"name":"Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China"}]},{"given":"Xiaotong","family":"Yang","sequence":"additional","affiliation":[{"name":"National Marine Data Information Service, Tianjin 300012, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3927","DOI":"10.1080\/01431161.2022.2102951","article-title":"Tensor-based keypoint detection and switching regression model for relative radiometric normalization of bitemporal multispectral images","volume":"43","author":"Moghimi","year":"2022","journal-title":"Int. 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