DocumentCode :
2436468
Title :
Terra MODIS band 5 Stripe noise detection and correction using MAP-based algorithm
Author :
Wang, Rongbin ; Zeng, Chao ; Li, Pingxiang ; Shen, Huanfeng
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
8612
Lastpage :
8615
Abstract :
Since 1 of the 20 detectors in Terra MODIS band 5 (1.230~1.250 μm) are noisy, there are sharp and repetitive stripes over the entire image. As for MODIS geolocated data, the stripes are irregular and sometimes uncontinuous, it brings a difficult problem to the image retrieving process. This paper presents a detection method to extract the stripe noise, and a maximum a posteriori (MAP) based algorithm to correct the contaminated pixels. In the MAP method, the likelihood probability density function (PDF) is proposed based on a linear image noise model, and a Huber-Markov model is employed as the prior PDF. The gradient descent optimization method is used to receive the destriped image. The proposed algorithm has been tested using a Terra MODIS band 5 geolocated image. The experimental results demonstrate that the proposed algorithm performs well.
Keywords :
Markov processes; geophysical image processing; gradient methods; image retrieval; maximum likelihood estimation; optimisation; probability; Huber-Markov model; MAP-based algorithm; Terra MODIS band 5 geolocated image; Terra MODIS band 5 stripe noise correction; Terra MODIS band 5 stripe noise detection; gradient descent optimization method; image retrieving process; likelihood probability density function; linear image noise model; maximum a posteriori based algorithm; Geology; MODIS; Noise; Noise measurement; Pixel; Remote sensing; Satellites; MODIS; Terra; band 5; destriping; detection; maximum a posteriori (MAP); stripe noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964181
Filename :
5964181
Link To Document :
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