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机译:基于深度潜伏的谱表示基于学习的目标检测的高光谱带选择
Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China;
Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China|Sci & Technol Electroopt Control Lab Luoyang 471000 Peoples R China;
Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China;
Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China;
Mississippi State Univ Dept Elect & Comp Engn Starkville MS 39759 USA;
CAST Inst Spacecraft Syst Engn Beijing 100094 Peoples R China;
Hyperspectral imaging; Feature extraction; Object detection; Optimization; Principal component analysis; Noise measurement; Band selection; hierarchical optimization; hyperspectral image (HSI); representation learning; spectral consistency;
机译:改进的基于波段相似度的用于目标检测的高光谱图像波段选择
机译:基于粒子群优化的高光谱目标检测带选择
机译:基于协方差的波段选择及其在近实时高光谱目标检测中的应用
机译:基于深度学习的高光谱目标检测,无需额外标记数据
机译:用于高光谱化学试剂检测的谱带选择技术
机译:基于深度学习的膜状肾病的框架:通过高光谱图像的新方法
机译:基于实验和场反射光谱比较的高光谱图像子像素目标检测的带选择方法
机译:利用谱内频带相关技术进行快速特征选择和高光谱图像目标识别