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改进U-Net网络的遥感图像水质分割算法 被引量:1
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作者 赵晨曦 宋钰 +2 位作者 胡敬芳 李洋 高国伟 《遥感信息》 CSCD 北大核心 2023年第4期137-143,共7页
针对遥感图像中一般水体、黑臭水体以及富营养化水体形状不规则以及相似难以准确分割的问题,选取研究区创建富含3类水体的数据集,利用深度学习卷积网络模型对3类水体数据集进行训练与测试。根据测试效果分析提出基于改进U-Net网络的遥... 针对遥感图像中一般水体、黑臭水体以及富营养化水体形状不规则以及相似难以准确分割的问题,选取研究区创建富含3类水体的数据集,利用深度学习卷积网络模型对3类水体数据集进行训练与测试。根据测试效果分析提出基于改进U-Net网络的遥感水质分割算法,改进卷积深度及在编码阶段输入层引入ASPP模块获取更加复杂的光谱信息,提高分割精度。实验表明,所提出的改进型U-Net分割算法能够显著提升水质分类的精确度和分割效果,从而实现一般、黑臭及富营养化水体的准确分类。 展开更多
关键词 水质分割 深度学习 卷积网络 分割精度 三类水体 河流占比
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An Optimal Algorithm for the Retrieval of Chlorophyll,Suspended Sediments and Gelbstoff of Case Ⅱ Waters in the Pearl River Estuary 被引量:3
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作者 杨锦坤 陈楚群 《Marine Science Bulletin》 CAS 2009年第1期13-23,共11页
An optimal algorithm for the retrieval of chlorophyll, suspended sediments and gelbstoff of case Ⅱ waters in the Pearl River estuary was established with the optical parameters derived from the in-situ data obtained ... An optimal algorithm for the retrieval of chlorophyll, suspended sediments and gelbstoff of case Ⅱ waters in the Pearl River estuary was established with the optical parameters derived from the in-situ data obtained in Jan. 2003 in the same area. And then, the chlorophyll, suspended sediments and gelbstoff of the SeaWiFS pixels on Jan. 29, 2003 corresponding to the in-situ sites of Jan. 25 and 26, 2003 were synchronously retrieved, with average relative errors of 14.9%, 12.1% and 13.6% for chlorophyll, suspended sediments and gelbstoff, respectively. The research results indicated that the optimal retrieval algorithm established here was relatively fit for the retrieval of the chlorophyll, suspended sediments and gelbstoff of case Ⅱ waters in the Pearl River estuary, and had quite good retrieval accuracy. 展开更多
关键词 Case Waters Optimal Retrieval Ocean Color Constituent Forward Model Atmospheric Correction Pearl River Estuary
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Source and composition of sedimentary organic matter in the head of Three Gorges Reservoir: a multiproxy approach using δ^(13)C,lignin phenols, and lipid biomarker analyses 被引量:4
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作者 He Ding Changfeng Zhu +3 位作者 Kai Zhang Shangbin Xiao Xingqian Cui Yongge Sun 《Acta Geochimica》 EI CAS CSCD 2017年第3期452-455,共4页
A multiproxy approach including bulk organic carbon, δ^(13) C, lignin phenols, and lipid biomarker analyses were applied to characterize the source and composition of sedimentary organic matter in the head part of Th... A multiproxy approach including bulk organic carbon, δ^(13) C, lignin phenols, and lipid biomarker analyses were applied to characterize the source and composition of sedimentary organic matter in the head part of Three Gorges Reservoir. OM consisted of both natural(autochthonous and allochthonous) and anthropogenic inputs.The natural OM included input from vascular plants,especially non-woody angiosperms. The allochthonous input included plankton and microbial production, likely due to localized eutrophication. Anthropogenic inputs likely derived from petroleum input and/or urban activities.Other anthropogenic inputs were untreated sewage waste.These influences were concluded to be regionally specific point sources of pollution based on relative distributions and on the fact that molecular characteristics of sedimentary OM were not distributed smoothly along a gradient. 展开更多
关键词 Three Gorges reservior Sedimentary organic matter Δ^13C Lignin phenols Lipid biomarkers
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