Title :
Research on Improving Spatial Resolution of RS Images Based on Quadtree Decomposition
Author :
Yonghua, Sun ; Xiaojuan, Li ; Huili, Gong ; Chunping, Zhou
Author_Institution :
Key Lab. of 3D Inf. Acquisition & Applic., Capital Normal Univ., Beijing
Abstract :
Spatial resolution is an important index to evaluate the quality of remote sensing images. For the application of remote sensing satellite images, improving spatial resolution is significant. Super-resolution technology is one of the important ways to improve spatial resolution. According to the single visual light image, this paper discusses two super-resolution algorithms. One is mixed pixel quadtree decomposition algorithm based on weight analysis. The other one is mixed pixel quadtree decomposition algorithm based on edge detection. The experimental results indicate that: the algorithms can improve the spatial resolution of remote sensing images, and make the appearance of cultural feature clearer; important information beyond the limits of their spatial resolution from satellite images can be obtained.
Keywords :
edge detection; geophysical techniques; image processing; quadtrees; remote sensing; edge detection; image processing; image quality; quadtree decomposition algorithm; remote sensing image; satellite image; single visual light image; super-resolution algorithm; super-resolution technology; weight analysis; Diffraction; Geographic Information Systems; Image analysis; Image edge detection; Image reconstruction; Image resolution; Remote sensing; Satellites; Signal resolution; Spatial resolution; Edge Detection; Quadtree; RS Images; Super-resolution; Weight Analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779188
