基于多特征组的遥感图像中建筑物目标自动识别与标绘的方法

该文提出了一种新的针对高分辨率遥感图像中建筑物目标自动识别与标绘的方法。该方法首先统计建筑物的多类特征，然后利用PCA方法分析选取最优特征组，将图像分割为建筑物目标区域与非目标区域。最后，提出一种主方向结合面积因子的方法将建筑物目标标绘为规则的矢量多边形。实验结果表明，该方法识别率高、准确性好、鲁棒性强，具有一定的实用价值。

A Method for Automatic Building Recognition and Mapping Based on Multiple Features in Remote Sensing Images

This paper proposes a new method for automatic building recognition and mapping in remote sensing images. The method calculates the multiple feature of building first, and then selects the best feature list with PCA algorithm to segment the imagery into two kind of area, which contain building targets and does not contain. Finally, a method combined both the dominant direction and area factor is used to reconstruct the target buildings into regular polygons. The experimental results prove that this new method has a good precision and robustness.