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针对点、面方法仅利用了遥感影像几何特征和部分波段的灰度特征进行多时相遥感影像配准的不足,提出一种稳定土地覆盖图斑的多时相遥感影像自动配准方法,充分利用遥感影像多光谱信息和大量存在的稳定土地覆盖图斑信息进行图像配准,并且选取了土地覆盖年际变化最为强烈的农业种植区作为试验区,分别利用同一传感器和不同传感器不同时相的遥感数据开展了试验研究。两次试验中,配准精度分别达到了0.57个像元、0.65个像元。试验结果表明,本文提出的方法能够有效地筛选出满足图像配准的同名图斑,具有较高的配准精度和适用性,提高了遥感影像的配准效率。
Aiming at the lack of registration of multi-temporal remote sensing images using only the geometric features of remote sensing image and the gray features of some bands, the method of point and surface method is proposed. An automatic registration method for multi-temporal remote sensing images with stable land cover patches is proposed. Image multispectral information and a large number of stable land cover patches were used for image registration, and the agricultural growing area with the most intensive land cover change was selected as the experimental area. The remote sensing data of the same sensor and different time phases of different sensors Conducted a pilot study. In the two experiments, the registration accuracy reached 0.57 pixels and 0.65 pixels respectively. The experimental results show that the method proposed in this paper can effectively screen out the same-name map patches that meet the image registration, with high registration accuracy and applicability, and improve the registration efficiency of remote sensing images.