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kMean
- Spatial registration of multidate or multisensor images is required for many applications in remote sensing, such as change detection, the construction of image mosaics, DEM generation from stereo pairs, and orthorectifi cation. Registration
kongjianshujuchuli
- 掌握空间数据处理（融合、拼接、剪切、交叉、合并）的基本方法，原理。-Master spatial data processing (fusion, stitching, cutting, cross-Merger) method works.
image-fusion13
- 这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。-This is sorted out the online image fusion uation criteria, there are a total of 13 performance indicators
Remote-sensing-image-registration
- 图像配准技术是近年来发展迅速的图像处理技术之一,是图像拼接、信息融合不可缺少的步骤.本文对遥感图像的配准进行了总结和归纳,介绍了几种常见的图像配准方法,并根据高光谱图像和高空间分辨率图像的特点指出了适合不同类型遥感图像的配准方法.-Image registration is one of the rapid development of image processing technology in recent years, is a mosaic, information fusion ind
scalespace
- 基于计算机视觉所提出的尺度空间融合理论的空间聚类方法(Spatial clustering method based on the theory of scale space fusion proposed by computer vision)