Results: 33
基于 FME 的矿山遥感监测矢量数据图属一致性检查方法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 293, doi. 10.6046/zrzyyg.2021101
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- Article
国产微景一号小卫星影像的城市裸地识别应用.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 189, doi. 10.6046/zrzyyg.2021056
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- Article
无人机三维地障信息提取技术应用于航空物探飞行轨迹规划.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 286, doi. 10.6046/zrzyyg.2021098
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- Article
基于光学遥感技术的冰崩隐患遥感调查及链式结构研究——以西藏自治区藏东南地区为例.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 265, doi. 10.6046/zrzyyg.2021076
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- Article
基于地形起伏度的冰湖溃决隐患研究——以希夏邦马峰东部为例.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 257, doi. 10.6046/zrzyyg.2021065
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- Article
基于GEE的诺木洪洪积扇植被时空变化特征、成因及趋势分析.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 249, doi. 10.6046/zrzyyg.2021086
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- Article
江苏省“生态-农业-建设”用地空间格局模拟及发展模式选择.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 238, doi. 10.6046/zrzyyg.2021102
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- Article
高光谱遥感异常信息在阿尔金索拉克地区铜金矿找矿工作中的应用.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 277, doi. 10.6046/zrzyyg.2021036
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- Article
基于GF-2 PMS 影像和随机森林的甘肃临夏花椒树种植监测.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 218, doi. 10.6046/zrzyyg.2021112
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- Article
2001—2015 年海南岛橡胶林物候时空变化特征分析.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 210, doi. 10.6046/zrzyyg.2021110
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- Article
基于1990—2019年Landsat影像的干旱区绿洲土地利用变化与模拟.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 198, doi. 10.6046/zrzyyg.2021042
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- Article
甘肃金川矿区地表三维形变InSAR监测.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 177, doi. 10.6046/zrzyyg.2021107
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- Article
改进遥感生态指数的宜宾市三江汇合区生态环境评价.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 230, doi. 10.6046/zrzyyg.2021058
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- Article
基于夜光遥感的宁夏沿黄城市群时空演变.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 169, doi. 10.6046/zrzyyg.2021118
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- Article
浮岛光伏电场对地表温度空间分布特征的影响.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 158, doi. 10.6046/zrzyyg.2020376
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- Article
基于多源数据的新疆干旱特征及干旱模型研究.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 151, doi. 10.6046/zrzyyg.2021074
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- Article
基于改进型光谱指数的荒漠土壤水分遥感反演.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 142, doi. 10.6046/zrzyyg.2021105
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- Article
一种基于GEE平台制作逐年土地覆盖数据的方法——以黄河流域为例.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 135, doi. 10.6046/zrzyyg.2021088
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- Article
基于集成学习和多时相遥感影像的枸杞种植区分类.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 115, doi. 10.6046/zrzyyg.2021064
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- Article
基于遥感和多源地理数据的城市土地利用分类.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 127, doi. 10.6046/zrzyyg.2021061
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- Article
基于无人机多光谱数据的玉米苗株估算.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 106, doi. 10.6046/zrzyyg.2021072
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- Article
基于多源数据集成的城市建筑物三维建模方法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 93, doi. 10.6046/zrzyyg.2021039
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- Article
顾及地理空间信息的无人机影像匹配像对提取方法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 85, doi. 10.6046/zrzyyg.2021035
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- Article
耦合分水岭与形态学的特殊纹理影像配准算法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 76, doi. 10.6046/zrzyyg.2021051
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- Article
结合相关系数和特征分析的植被 区域自动变化检测研发.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 67, doi. 10.6046/zrzyyg.2021001
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- Article
基于孪生注意力网络的高分辨率遥感影像变化检测.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 61, doi. 10.6046/zrzyyg.2021122
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- Article
一种超像素上Parzen窗密度估计的遥感图像分割方法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 53, doi. 10.6046/zrzyyg.2021089
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- Article
多感受野特征与空谱注意力结合的 高光谱图像超分辨率算法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 43, doi. 10.6046/zrzyyg.2021115
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- Article
海岸带地类统计模型中DEM空间尺度优选方法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 34, doi. 10.6046/zrzyyg.2022005
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- Article
近海人工鱼礁水下物理状态探测与评估.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 27, doi. 10.6046/zrzyyg.2021451
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- Article
基于GEE的杭州湾慈溪段潮滩提取及时空变化分析.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 18, doi. 10.6046/zrzyyg.2022021
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- Article
基于同期光学与微波遥感的茅尾海及其入海口水体悬浮物反演.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 10, doi. 10.6046/zrzyyg.2021094
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- Article
植被遥感时间序列数据重建方法简述及示例分析.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 1, p. 1, doi. 10.6046/zrzyyg.2021071
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- Article