Space-time fusion method, system and device for remote sensing image data

Abstract

The invention provides a remote sensing image data space-time fusion method, system and device. The method includes obtaining a change detection imagethrough calculation of two time-phase low-resolution remote sensing images; extracting an edge region of the high-resolution image of the first time phase, and calculating abundance corresponding to the number of various high-resolution pixels; calculating time-phase change values of various pixels according to the extraction result and abundance of the edge region; calculating a time prediction value and a space prediction value; according to the earth surface homogeneity degree, the time prediction value and the space prediction value, combining neighborhood information to distribute a residual value so as to acquire a preliminary fusion image; and utilizing the established optimization model to correct the change pixels contained in the preliminary fusion image to obtain a spatio-temporal data fusion result. According to the method provided by the embodiment of the invention, the applicability of different change detection algorithms in different scenes is comprehensively considered, the overall spectral precision of fusion is improved, more spatial detail information is reserved, and a better spatio-temporal data fusion result can be obtained. 本发明提出了一种遥感影像数据时空融合的方法、系统及设备，通过两个时相低分辨率遥感影像计算获得变化检测影像；提取第一时相的高分辨率影像的边缘区域，计算各类高分辨率像元数对应的丰度；根据边缘区域的提取结果和丰度计算各类像元的时相变化值；计算时间预测值和空间预测值；根据地表均质性程度、时间预测值和空间预测值，结合邻域信息分配残差值从而获得初步融合影像；利用建立的优化模型对所述初步融合影像中含有的变化像元进行修正，得到时空数据融合结果。本实施例所述的方法，综合考虑了不同变化检测算法在不同场景下的适用性，提升融合的整体光谱精度并保留更多的空间细节信息，可以获取到更好的时空数据融合结果。