一种可靠的高分辨率光学卫星遥感影像匹配方法

提出一种基于虚拟交点的高分辨率光学卫星遥感影像自动匹配方法。具体流程包括：（1）初始获取同名点，建立影像局部粗匹配模型；（2）利用同名点构建同名虚拟直线，通过同名虚拟直线形成同名虚拟交点集，并采用局部粗匹配模型进行约束；（3）对候选点集进行特征描述；（4）对特征点利用最小欧式距离准则提取初始同名点；（5）采用RANSAC算法和多项式拟合迭代法剔除误匹配点以获取最终的匹配结果。实验结果表明了本文通过虚拟交点提取同名点的算法，获取了更好的匹配效率和精度。

Analysis on the Spatial Structure of Spectrum Data in Remote Sensing Alteration Information Examination

This article quotes some important theoretical thoughts which are the independent component analysis and the blind signal separates, through the analysis remote sensing image data non-Gaussian distribution essential feature, as well as multi （hyper） spectral data space geometry structure characteristics, detects that higher space belongs to lower dimension geometry structure-＂hyperplane＂, but anomaly spot which contains alteration information usually drifts away from hyperplane. On this base, the paper expands the principal components analysis （PCA） basic character, and advances the concept that the remote sensing image data higher space background-anomaly may be divided, and presents some important statistical parameter estimation methods.