LITERATURE SURVEY OF GIS AND STUDY OF FILTERING TECHNIQUES FOR NOISE REMOVAL FROM REMOTELY SENSED IMAGES
Keywords:
Wiener, Homomorphic, Sobel, GIS, LISS, SAR, MSE, PSNR, Gaussian, Gradient
Abstract
This paper presents literature survey of GIS, comparative and analytical study among various filters which are usually used for reducing noise from remotely sensed data. During this study several band images from resoursesat-1/ resoursesat-2 satellite using LISS-3/LISS-4 sensors are taken and passed to various filters such as frequency and spatial domain filter for analyzing them using MSE and PSNR to measure their performance in terms of Gaussian noise, salt and pepper noise, feature extraction as well as in terms of effectiveness and efficiency. KEYWORD
References
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G., Chien N. Lin, & Chung, J. Kuo. (1996). Channel Noise Recovery of Images through Anti-Gray Coding Technique. IEEE.
Campbell, J. B. (2002). Introduction to Remote Sensing, pp. 654. CRC Press.
Jensen, J. R. (1996). Introductory Digital Image Processing: A Remote Sensing Perspective, pp. 526. . Prentice-Hall Inc.
Shaaradadevi, V., & Sunanda, S. (2012). Two stage Impulse Noise removal technique For SAR images based on ANFIS and Fuzzy Decision. European Journal of Scientific Research, 68(4), 506-522.
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Raymond, H. Chan, Chung-Wa Ho, & Mila, Nikolova. (2005, October). Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization. IEEE Transactions on Image Processing, 14(10).
Salem Saleh Al-amri, & N. V. Kalyankar. (2010, January). A Comparative Study of Removal Noise from Remote Sensing Image. IJCSI, International Journal of Computer Science, 7(1).
Loïc Denis, Florence Tupin, Jérôme Darbon, & Marc Sigelle. (2009, July). SAR Image Regularization with Fast Approximate Discrete Minimization. IEEE Transactions on Image Processing, 18(7).
A. Achim, (2003, August). SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modelling. IEEE Trans. Geosci. Remote Sens., 41(8), 1773–1784.
Yao Zhao et al., (2015, May). Adaptive Total Variation Regularization Based SAR Image Despeckling and Despeckling Evaluation Index. IEEE Transactions on Geoscience and Remote Sensing, 53(5).
Narayan, P. Bhosale, & Ramesh, R. Manza. (2013, November). Analysis of effect of noise removal filters on noisy remote sensing images. International Journal of Scientific & Engineering Research, 4(10). ISSN: 2229-5518.
Ian T. Young, Jan J. Gerbrands, Lucas J. van Vliet, 1995-2007. Delft University of Technology. Antoniou, A. (2009). Digital Filters: Analysis and Design. McGraw-Hill.
Lim J. S. (1990). Two-Dimensional Signal and Image Processing. Prentice Hall.
Andrews, H. C., & Hunt, B. R. (1977). Digital Image Restoration. New Jersey: Prentice-Hall.
Busko, I. C. (1991). Wiener Restoration of HST Images: Signal Models and Photometric Behavior. In First Annual Conference on Astronomical Data Analysis Software and Systems. Tucson.
Tomasi, C., & Manduchi, R. Bilateral filtering for gray and color images. In Proceedings of the 1998 IEEE International Conference on Computer Vision, pp. 839–846. Bombay, India.
Indian Geo-Platform of ISRO. Retrieved from https://bhuvan.nrsc.gov.in
Barbu, T. (2013). Variational image denoising approach with diffusion porous media flow. Abstr. Appl. Anal., Article ID 856876, 8 pages, DO I: 10.1155/2013/856876.
Arias-Castro, E., & Donoho, D. L. (2009). Does median filtering truly preserve edges better than linear filtering? The Annals of Statistics, 37(3), 1172–1206.
Fuan, Tsai, & Walter, W. Chen. (2008, December). Striping Noise Detection and Correction of Remote Sensing Images. IEEE, 46(12).
G., Chien N. Lin, & Chung, J. Kuo. (1996). Channel Noise Recovery of Images through Anti-Gray Coding Technique. IEEE.
Campbell, J. B. (2002). Introduction to Remote Sensing, pp. 654. CRC Press.
Jensen, J. R. (1996). Introductory Digital Image Processing: A Remote Sensing Perspective, pp. 526. . Prentice-Hall Inc.
Shaaradadevi, V., & Sunanda, S. (2012). Two stage Impulse Noise removal technique For SAR images based on ANFIS and Fuzzy Decision. European Journal of Scientific Research, 68(4), 506-522.
Panda, B. C. (2005). Remote Sensing -Principle and Application (1st Edition). Viva Book Private Limited. And from Understanding GIS: The ARC/INFO Method (Redlands, CA: Environmental System Research Institute, 1990)
(1990). From Jeffrey Star and John Estes, in Geographic Information Systems: An Introduction. Englewood Cliffs, NJ: Prentice-Hall.
(1990). C. Dana Tomlin's definition, from Geographic Information Systems and Cartographic Modeling. Englewood Cliffs, NJ: Prentice-Hall.
(1991). A definition quoted in William Huxhold's Introduction to Urban Geographic Information Systems. New York: Oxford University Press.
Felix Bachofer et al., (2017, February 17). Comparative analysis of Edge Detection techniques for SAR images. European Journal of Remote Sensing. ISSN (Print): 2279-7254.
Kumar, T. Ganesh, & Co-authors. (2015). Image enhancement and performance evaluation using various filters for IRS-P6 Satellite Liss IV remotely sensed data. Geofizika, Volume 32. DOI: 10.15233/gfz.2015.32.11, UDC 551.508.2.
Florian, Luisier. (2011, March). Image Denoising in Mixed Poisson Gaussian Noise. IEEE Transactions on Image Processing, 20(3).
Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2004). Remote Sensing and Image Interpretation (5th Edition). New York:Wiley.
Raymond, H. Chan, Chung-Wa Ho, & Mila, Nikolova. (2005, October). Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization. IEEE Transactions on Image Processing, 14(10).
Salem Saleh Al-amri, & N. V. Kalyankar. (2010, January). A Comparative Study of Removal Noise from Remote Sensing Image. IJCSI, International Journal of Computer Science, 7(1).
Loïc Denis, Florence Tupin, Jérôme Darbon, & Marc Sigelle. (2009, July). SAR Image Regularization with Fast Approximate Discrete Minimization. IEEE Transactions on Image Processing, 18(7).
A. Achim, (2003, August). SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modelling. IEEE Trans. Geosci. Remote Sens., 41(8), 1773–1784.
Yao Zhao et al., (2015, May). Adaptive Total Variation Regularization Based SAR Image Despeckling and Despeckling Evaluation Index. IEEE Transactions on Geoscience and Remote Sensing, 53(5).
Narayan, P. Bhosale, & Ramesh, R. Manza. (2013, November). Analysis of effect of noise removal filters on noisy remote sensing images. International Journal of Scientific & Engineering Research, 4(10). ISSN: 2229-5518.
Ian T. Young, Jan J. Gerbrands, Lucas J. van Vliet, 1995-2007. Delft University of Technology. Antoniou, A. (2009). Digital Filters: Analysis and Design. McGraw-Hill.
Lim J. S. (1990). Two-Dimensional Signal and Image Processing. Prentice Hall.
Andrews, H. C., & Hunt, B. R. (1977). Digital Image Restoration. New Jersey: Prentice-Hall.
Busko, I. C. (1991). Wiener Restoration of HST Images: Signal Models and Photometric Behavior. In First Annual Conference on Astronomical Data Analysis Software and Systems. Tucson.
Tomasi, C., & Manduchi, R. Bilateral filtering for gray and color images. In Proceedings of the 1998 IEEE International Conference on Computer Vision, pp. 839–846. Bombay, India.
Indian Geo-Platform of ISRO. Retrieved from https://bhuvan.nrsc.gov.in
Barbu, T. (2013). Variational image denoising approach with diffusion porous media flow. Abstr. Appl. Anal., Article ID 856876, 8 pages, DO I: 10.1155/2013/856876.
Arias-Castro, E., & Donoho, D. L. (2009). Does median filtering truly preserve edges better than linear filtering? The Annals of Statistics, 37(3), 1172–1206.
How to Cite
Nitin Pandey, & Dr. Manoj Kumar Pandey. (2018). LITERATURE SURVEY OF GIS AND STUDY OF FILTERING TECHNIQUES FOR NOISE REMOVAL FROM REMOTELY SENSED IMAGES. International Journal of Information Technology & Computer Sciences Perspectives, 7(02), 2715-2730. Retrieved from https://itcsp.gfer.org/index.php/itcsp/article/view/11
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