A modified neighborhood similar pixel interpolator approach for removing thick clouds in landsat images

Xiaolin Zhu; Feng Gao; Desheng Liu; Jin Chen

doi:10.1109/LGRS.2011.2173290

A modified neighborhood similar pixel interpolator approach for removing thick clouds in landsat images

Xiaolin Zhu, Feng Gao, Desheng Liu, Jin Chen

Research output: Journal article publication › Journal article › Academic research › peer-review

74 Citations (Scopus)

Abstract

Thick-cloud contamination is a common problem in Landsat images, which limits their utilities in various land surface studies. This letter presents a new method for removing thick clouds based on a modified neighborhood similar pixel interpolator (NSPI) approach that was originally developed for filling gaps due to the Landsat ETM+ Scan Line Corrector (SLC)-off problem. The performance of the proposed method was evaluated with both simulated and real cloudy images and compared with that of a contextual multiple linear prediction (CMLP) method. The results show that the modified NSPI approach can greatly reduce the edge effects by CMLP. The reflectance restored by the modified NSPI approach is more accurate than that by CMLP, especially when the cloud-free auxiliary and cloudy images are acquired from different seasons and have different spectral characteristics.

Original language	English
Article number	6095313
Pages (from-to)	521-525
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	9
Issue number	3
DOIs	https://doi.org/10.1109/LGRS.2011.2173290
Publication status	Published - 1 Jan 2012
Externally published	Yes

Keywords

Cloud removal
image processing
image restoration
Landsat

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Electrical and Electronic Engineering

More information

10.1109/LGRS.2011.2173290

Cite this

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