摘要
针对无人机低空遥感影像拼接问题,引入一种基于加速鲁棒性(SURF)特征的匹配方法,该算法具有稳健和高精度特性,能够实现低空影像的快速匹配。文章采用L-M优化的全局拼接策略,实验表明,该策略能有效减小累积误差的影响,实现了测区影像的自动全景拼接。
Concerning jointing of remote sensing images by drone at low level, one matching method based on SURF is introduced. This calculation method is with stable and high-precision features, enabling to realize quick matching of images taken at low level. In this paper, overall jointing strategy optimized by L-M is applied. Experiment shows that this strategy can reduce accumulated errors and automatic full-view jointing of images in measured region can be realized.
出处
《西北水电》
2012年第2期14-18,共5页
Northwest Hydropower
关键词
低空遥感影像
SURF算子
全景拼接
Remote sensing images taken at low level
SURF operator
full-view jointing
