Title :
Sub-pixel mapping based on sub-pixel to sub-pixel spatial attraction model
Author :
Wang, Liguo ; Wang, Qunming ; Liu, Danfeng
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, a new sub-pixel mapping algorithm is proposed based on sub-pixel/sub-pixel spatial attraction model (SSSAM). Different from the original sub-pixel/pixel spatial attraction model (SPSAM), the SSSAM considers the spatial distribution of each sub-pixel within neighbor pixels, when calculating the spatial attractions for sub-pixels within the centre pixel. Then the attractions are used to determine the class values of these sub-pixels. Two experiments on three artificial images and one real remote sensing image are processed. Both of the results show that compared with traditional SPSAM, the proposed method can produce sub-pixel mapping results with higher accuracy.
Keywords :
geography; image processing; remote sensing; artificial images; remote sensing; sub-pixel mapping; sub-pixel spatial attraction model; Accuracy; Equations; Mathematical model; Remote sensing; Spatial resolution; Visualization; Remote sensing imagery; Spatial dependence; Sub-pixel mapping; Sub-pixel/sub-pixel spatial attraction model (SSSAM);
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049198