The study of noise filtering algorithm experiment on spatial domain and frequency domain of hyperspectral image

Ling Han; Jing Wu

doi:10.1117/12.838338

16 October 2009 The study of noise filtering algorithm experiment on spatial domain and frequency domain of hyperspectral image

Ling Han, Jing Wu

Author Affiliations +

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74924H (2009) https://doi.org/10.1117/12.838338
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

Abstract

The study of hyperspectral remote sensing data noise filtering algorithm is the key to improving data analysis. In this paper, to remove the stripe noise in spatial domain smooth filtering algorithm by row was used, while the wavelet threshold denoising method was used to filter random noise in spectral domain. The former was tested on actual data and got better results comparing with other moment matching methods. Not only was the stripe noise weakened well, but also the consistency of mean value curve was retained. Through the spectrum domain wavelet de-noising,the image is more smooth adopting soft threshold denoising method comparing with hard threshold denoising method, this proves that the soft threshold denoising filters the good effect. Experimental results demonstrated that the quality of the image was improved and the radiative feature was retained.

Citation Download Citation

Ling Han and Jing Wu "The study of noise filtering algorithm experiment on spatial domain and frequency domain of hyperspectral image", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74924H (16 October 2009); https://doi.org/10.1117/12.838338

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available