摘要
景象匹配在地形辅助导航中具有十分重要的地位,归一化互相关(NCC)技术是一种相对抗噪声能力强、匹配准确的匹配算法,因此,在导航制导中广泛应用。但由于其运算量比较大,对于要求实时匹配的地形辅助导航系统来说,其运算速度需要进一步提高。在NCC方法的基础上,把卷积用于景象匹配,大大简化并提高了NCC的匹配速度。仿真实验证明了此方法的快速性和有效性。
Image registration plays an important role in terrain-aided navigation system. Normalized cross correlation method（NCC） is a relatively good method with anti-noise ability and precise. It is widely used in the navigation system. Because the computing quantity is huge ,it needs to be improved in order to satisfy the fastness of navigation. A method based on NCC and convolution is proposed. It becomes much more fast. Experimental results verify its efficiency and fastness.
出处
《传感器与微系统》
CSCD
北大核心
2007年第9期104-106,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60574084)
国家"973"计划资助项目(2002CB312200)
关键词
景象匹配
归一化互相关
卷积
快速性
image registration
normalized cross correlation method（NCC）
convolution
fastness
