Works matching IS 10074619 AND DT 2023 AND VI 27 AND IP 8
Results: 18
2010年—2020年全球陆地区域大气CO<sub>2</sub>时空变化特征分析.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1782, doi. 10.11834/jrs.20232508
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- Article
基于高光谱技术的广州市HCHO时空分布和来源定量遥感研究.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1844, doi. 10.11834/jrs.20232449
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地理要素分类机器学习方法发展与前景.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1757, doi. 10.11834/jrs.20232299
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2021年中国北部特大沙尘天气的遥感监测与路径分析.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1821, doi. 10.11834/jrs.20232153
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- Article
基于集成学习方法的中国近地面臭氧浓度时空分布.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1792, doi. 10.11834/jrs.20231845
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GF-5 EMI观测新冠疫情期间全球典型地区NO<sub>2</sub>柱浓度变化.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1807, doi. 10.11834/jrs.20231787
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2000年—2018年中国和印度的长期PM<sub>2.5</sub>污染暴露的疾病负担研究.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1834, doi. 10.11834/jrs.20231758
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- Article
大气无机氮沉降卫星遥感估算研究进展.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1769, doi. 10.11834/jrs.20231631
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SWOT卫星对青海湖的水位监测潜力研究.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1888, doi. 10.11834/jrs.20231628
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珠海一号高光谱数据辐射质量评价.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1925, doi. 10.11834/jrs.20230516
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融合Sentinel-2数据的高分五号高光谱数据降尺度.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1936, doi. 10.11834/jrs.20211420
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迁移学习方法提取高分一号影像汶川地震震后滑坡.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1866, doi. 10.11834/jrs.20211020
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3D点云震害建筑物深度学习样本增强方法.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1876, doi. 10.11834/jrs.20211009
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- Article
高分五号痕量气体差分吸收光谱仪的地表 UV-B 辐照度初步反演.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1856, doi. 10.11834/jrs.20210603
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多源遥感影像深度识别模型对抗攻击鲁棒性评估.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1951, doi. 10.11834/jrs.20210597
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- Article
核电温排水基准温度星地协同提取与分析——以宁德为例.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1899, doi. 10.11834/jrs.20210583
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生成对抗网络的无监督高光谱解混.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1964, doi. 10.11834/jrs.20210550
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基于时序自注意力机制的遥感数据时间序列分类.
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- Journal of Remote Sensing, 2023, v. 27, n. 8, p. 1914, doi. 10.11834/jrs.20210453
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