A novel local variance-based filtering method for denoising remote sensing images

Autor:	Ya Qiong Wang, Yu Li, Xiao Jun He, Ai Gong Xu
Rok vydání:	2019
Předmět:	Image domain 010504 meteorology & atmospheric sciences Computer science Noise reduction Gaussian ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Variance (accounting) 01 natural sciences Image (mathematics) symbols.namesake Remote sensing (archaeology) Computer Science::Computer Vision and Pattern Recognition Local variance Earth and Planetary Sciences (miscellaneous) symbols Electrical and Electronic Engineering 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing
Zdroj:	Remote Sensing Letters. 10:736-745
ISSN:	2150-7058 2150-704X
DOI:	10.1080/2150704x.2019.1606469
Popis:	In this paper, a novel filtering method is designed for denoising remote sensing image. Firstly, the image domain of noisy image is partitioned into blocks for estimating the variance of Gaussian w...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e4eeb99ecffc80835457de14c980a4be https://doi.org/10.1080/2150704x.2019.1606469 Zobrazit plný text záznamu