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机译:通过将离散小波变换应用于机载高光谱数据来改善属内树种的判别
Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA Geospatial and Environmental Analysis Program, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;
Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;
Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA Geospatial and Environmental Analysis Program, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;
机译:使用机载AISA Eagle高光谱图像和偏最小二乘判别分析(PLS-DA)在南非夸祖鲁-纳塔尔省进行商业树种歧视
机译:从机载高光谱和机载激光扫描数据对挪威的树种进行分类
机译:从机载高光谱和机载激光扫描数据对挪威的树种进行分类
机译:使用连续体的树种歧视除去了空气传播的高光谱数据
机译:可重构平台上离散小波变换和高光谱数据压缩的并行实现:方法,方法和实际考虑。
机译:基于复双密度双树离散小波变换的快速压缩传感MRI
机译:使用离散小波变换适用于机载高光谱数据的离散小波变换,改善内部内部鉴别