多光谱遥感影像亚像元定位的空间引力算法研究

Spatial Attraction Algorithm for Sub-pixel Mapping of Multispectral Remote Sensing Images

针对遥感影像亚像元定位问题,提出一种基于像元空间引力模型的亚像元定位新算法,算法中像元空间引力的表达在亚像元尺度上建立,能够表达像元间的空间自相关性;亚像元权重参数包括相互吸引的两个相邻像元中地物百分比含量,强化了空间引力模型;用距离函数表达像元间的相互作用在距离上的非线性关系。通过迭代运算优化像元间的引力关系,提高像元的空间自相关性。结合扬州地区2006年6月份的SPOT假彩色合成影像进行试验,在5倍于原图像空间分辨率的尺度下进行了亚像元制图,验证算法的有效性。

A new algorithm is presented for sub-pixel mapping,the algorithm is based on the scale of sub-pixels spatial attraction models,which can express the spatial dependence well.The proportions of each land cover within two adjacent mixed pixels as the sub-pixel weight parameters will be inputed,which enhanced the spatial attraction model.The distance function is also a expression of the non-linear relationship at a distance about the interaction among the pixels.Following an initial random allocation of sub-pixels,the algorithm works in a series of iterations,each of which can optimize the attraction relationship among the sub-pixels,by this the algorithm can improve the spatial dependence among the pixels.This algorithm is tested on SPOT image data,four land covers are mapped in five times the scale of spatial resolution of the original image.The result shows that,this algorithm works reasonably well in multiple classes mapping.