Title :
The Model of Moveably Resampled Template Matching
Author :
Bitao, Fu ; Zhiyuan, Zeng
Author_Institution :
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Tech., Wuhan, China
Abstract :
When register a pair of remotely sensed images with very different spatial resolution, the diversity of their shape and tone results in lower precision and success rate. The paper proposes an algorithm of moveably resampled template match to fine register them, which resamples the high-resolution images to a sub-image by a movable mask plate, and then uses template matching method to register the sub-image and low-resolution image. Experimental results show that its error is less than 0.1 pixel.
Keywords :
geophysical image processing; image matching; image registration; remote sensing; high-resolution images; movable mask plate; remote sensing images; template matching method; Accuracy; MODIS; Pixel; Registers; Remote sensing; Spatial resolution; image registration; moveably resample; remotely sensed images; template matching;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.480