Works matching IS 10074619 AND DT 2024 AND VI 28 AND IP 7
Results: 16
多层级几何—语义融合的图神经网络地表异常检测框架.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1760, doi. 10.11834/jrs.20243301
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- Article
天基光学遥感动目标智能检测技术综述.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1681, doi. 10.11834/jrs.20243277
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分级监督范式指导下的遥感图像超分辨率方法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1746, doi. 10.11834/jrs.20243274
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基于脉冲神经网络微调方法的遥感图像目标检测.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1702, doi. 10.11834/jrs.20243272
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基于类脑脉冲神经网络的遥感图像检测算法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1713, doi. 10.11834/jrs.20243269
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基于改进遗传算法的SAR多星协同复杂区域观测规划.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1822, doi. 10.11834/jrs.20243258
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Hybrid-Gird： 遥感图像细粒度分类可解释方法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1722, doi. 10.11834/jrs.20243252
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从光学到SAR：基于多级跨模态对齐的SAR图像舰船检测算法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1789, doi. 10.11834/jrs.20243249
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光学遥感图像的小样本目标检测.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1693, doi. 10.11834/jrs.20243209
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序言.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1657
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- Article
遥感基础模型发展综述与未来设想.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1667, doi. 10.11834/jrs.20233313
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基于元学习和密集残差注意力的遥感图像任意尺度超分辨率重建.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1735, doi. 10.11834/jrs.20233267
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面向遥感图像目标感知的群目标检测框架.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1802, doi. 10.11834/jrs.20233263
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基于实例对比学习的遥感建筑物变化检测域适应算法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1771, doi. 10.11834/jrs.20233259
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巨星座时代遥感卫星应用技术挑战与思考.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1658, doi. 10.11834/jrs.20233248
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面向小目标检测的卫星视频跟踪算法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1812, doi. 10.11834/jrs.20232098
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