geophysical image processing; hyperspectral imaging; image matching; image registration; least squares approximations; vegetation; vegetation mapping; feature points; hyperspectral data; least square method; multiband data; nonvegetation area; remote sensing image registration accuracy; scale invariant feature transform algorithm; similarity measure; spectral angle distance; transformation parameters; vegetation index analysis; Accuracy; Algorithm design and analysis; Feature extraction; Image registration; Indexes; Remote sensing; Vegetation mapping; Image registration; SIFT algorithm; spectral angle distance; vegetation index;
机译:基于SIFT的高效模式寻找算法用于遥感图像的亚像素配准
机译:基于改进SIFT和特征坡度分组的遥感影像配准
机译:基于SIFT和相位相关的一种新的粗精细图像配准方案
机译:使用SIFT和植被指数分析遥感图像配准
机译:自动注册可见波段和SAR卫星以及航空遥感图像。
机译:应用分类树模型通过来自不同传感器和日期的遥感图像绘制水生植被的方法
机译:基于筛选关键点空间关系分析的多光谱遥感图像配准