Remote sensing image super-resolution method using sparse representation and classified texture patches

doi:10.13203/j.whugis20130385

CORC > 北京大学 > 地球与空间科学学院

	Remote sensing image super-resolution method using sparse representation and classified texture patches
	Liu, Shuai ; Zhu, Yajie ; Xue, Lei
刊名	wuhan daxue xuebao xinxi kexue ban geomatics and information science of wuhan university
	2015
DOI	10.13203/j.whugis20130385
英文摘要	A super-resolution method based on sparse representation and classified texture patches was proposed, mainly using the priori knowledge and texture to reconstruct remote sensing images. First, extract image blocks for dictionary learning, the over-complete dictionary was learned from the high and low resolution remote sensing image blocks. Orthogonal match pursuit was used to calculate the sparse conefficients, then the coefficients were fixed, iterative method was used to update the dictionary until the algorithm converges. Then, the training dictionary was used to reconstruct the remote sensing images. In this step, the image was divided into smooth patches and non-smooth patches, bicubic interpolation was used for smooth patches while sparse conefficients and over-complete dictionary were used for non-smooth patches. Experiment shows that this method has a faster reconstruction speed and can achieve satisfied super-resolution results in the visual effects and objective evaluation indicators. ?, 2015, Wuhan University. All right reserved.; EI; 0; 5; 578-582; 40
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/329316]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Liu, Shuai,Zhu, Yajie,Xue, Lei. Remote sensing image super-resolution method using sparse representation and classified texture patches[J]. wuhan daxue xuebao xinxi kexue ban geomatics and information science of wuhan university,2015.
APA	Liu, Shuai,Zhu, Yajie,&Xue, Lei.(2015).Remote sensing image super-resolution method using sparse representation and classified texture patches.wuhan daxue xuebao xinxi kexue ban geomatics and information science of wuhan university.
MLA	Liu, Shuai,et al."Remote sensing image super-resolution method using sparse representation and classified texture patches".wuhan daxue xuebao xinxi kexue ban geomatics and information science of wuhan university (2015).