geophysical image processing; image classification; image segmentation; land cover; remote sensing; support vector machines; bag-of-visual words approach; estimation-of-scale parameters; high resolution remote sensing imagery; high spatial resolution image; low-level feature; multiscale image segmentation; object description; object-oriented classification; optimal segmentation scale; pixel-based image classification; support vector machine; within-class spectral variation; Feature extraction; Image segmentation; Remote sensing; Shape; Spatial resolution; Support vector machines; Visualization; Bag-of-Visual Words (BOV); midlevel representation; multi-scale segmentation; object-oriented classification;
机译:基于高分辨率遥感图像场景复杂度的基于对象的多分辨率分割的最优分割规模的计算
机译:基于先前专题映射和图像特征的高分辨率遥感图像最佳分割规模的选择与评估
机译:基于Visual-Lock和Doc2Vec模型的场景分类,用于高空间分辨率遥感图像
机译:一种基于高分辨率遥感图像分类的最优分割规模的视觉词种方法
机译:遥感图像的分割和分类:基于对象的图像分析。
机译:基于最优分割参数计算的高分辨率遥感影像信息提取
机译:用于遥感图像的Multilabel分类的视觉袋和纠错输出代码