Atmospheric correction of remotely sensed multispectral satellite images in transform domain

4th International Conference on Advanced Computing, ICoAC 2012

Volumn , Issue , 2012, Pages

  Gandhimathi Usha, S ^a   Vasuki, S ^a   Ariputhiran, Gowri ^a  

^a VELAMMAL COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Atmospheric correction; Discrete Wavelet Transform; Homomorphic filtering; Multispectral satellite image; Thresholding technique

Indexed keywords

ATMOSPHERIC CORRECTIONS; ATMOSPHERIC EFFECTS; CHANGE DETECTION; COMPARATIVE ANALYSIS; CRITICAL INFORMATION; GAUSSIANS; HOMOMORPHIC FILTERING; LAND COVER CLASSIFICATION; LANDSAT IMAGES; MULTI-SPECTRAL; MULTISPECTRAL SATELLITE IMAGE; PEAK SIGNAL TO NOISE RATIO; PRE-PROCESSING STEP; REMOTE SENSING DATA; REMOTELY SENSED IMAGES; SOFT THRESHOLDING; SPECTRAL INFORMATION; STATISTICAL MEASURES; STATISTICAL PARAMETERS; THRESHOLDING TECHNIQUES; TRANSFORM DOMAIN;

DISCRETE WAVELET TRANSFORMS; HIGH PASS FILTERS; IMAGE FUSION; MEAN SQUARE ERROR;

REMOTE SENSING;

EID: 84874128405     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICoAC.2012.6416849     Document Type: Conference Paper

References (10)

1. Sarah C. Goslee" Analyzing Remote Sensing Data in R: The Landsat Package", Journal of Statistical Software July 2011, Volume 43, Issue http://www.jstatsoft.org/.
2. Diofantos G. Hadjimitsis, Kyriacos P.Themistokleousa and Giorgos Papadavida., "The application of atmospheric correction algorithms for monitoring atmospheric pollution using Landsat TM images" Proc. of SPIE Vol. 7107 71070H-2.
3. G. Dal Moro, and L. Halounova, "Haze removal For high-resolution satellite data: A case study," International Journal of Remote sensing, vol. 28, no. 10, pp. 2187-2205, May 20, 2007.
4. Robert E. Crippen, "Regression intersection method of adjusting Image data for band ratioing", Int. J. Remote sensing, 1987, Vol 8, no. 2, 137-155.
5. Priti Tyagi & Udhav Bhosle. ," Atmospheric Correction of Remotely sensed images in spatial and transform domain", International Journal of Image Processing(IJIP),volume(5):Issue(5):2011
6. D.L. Donoho, "De-noising by soft thresholding", IEEE Trans. Info. Theory 43, pp, 933-936,1993
7. Zhou Dengwen, Cheng Wengang "Image denoising with an optimal threshold and neighbouring window",Contents lists available at Science Direct Pattern Recognition Letters 29 page(s): 1694-1697 ,2008.
8. Mukesh C. Motwani, Mukesh C. Gadiya, Rakhi C. Motwani "survey of image denoising techniques",Proceedings of GSPx 2004,Santa Clara Convention Center, Santa Clara, CA. page(s)27-30, , Sep 2004 .
9. Dr.G.Padmavathi, Dr.P.Subashini, R.M.Muthu Kumar and Suresh Kumar Thakur.,"Comparison of Filters used for Underwater Image Pre-Processing" IJCSNS International Journal of Computer Science and Network Security,VOL.10 No.1, January 2010.
10. A. Proch azka, J. Ptacek, and I.sindel a rova," Wavelet transform in signal and image restoration".