Change Detection Techniques using Optical Remote Sensing: A Survey
Keywords:
Satellite images, remote sensing, map updating, change detection, digital image processing.Abstract
Environmental planning and management requires continues updating of map to be significant. This has even become curtail in the rapid development and dynamism of urban areas. The advent of GIS has made the regular update of maps easer with the several images and data acquired by many remote sensors covering the earth today. Changes occur in the environment and urban areas can be historically and temporally monitored and traced using various change detection techniques. The effectiveness of these techniques however depends on some factors. Such factors include specific application, accuracy, time and cost. In this paper an evaluation of some change detection techniques/ algorithm was made to identify their potential, accuracy and effectiveness. The evaluation was carried out through image classification for efficient land use management.
References
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[33] Yves v.,Goze B. Benie, Dong C. H., Ko F. and Kalifa G. "A Forest Map Updating Expert System based on the Integration of Low Level Image Analysis and Photo-interpretation Techniques." International Journal of Remote Sensing. 2002.
[2] Armenakis C., Leduc F., Cyr I., Savopol F. and Cavayas F. "A comparative analysis of scanned maps and imagery for mapping applications." ISPRS journal of photogrammetry & remote sensing, 57,304-314. 2003.
[3] Andrea H., Jan W., Van D.V. and Frank L., 2000. Towards Automated Map Updating: detecting houses with new digital data-acquisition and processing techniques. IEEE transactions on geoscience and remote sensing, 0-7803-6359.
[4] Berberoglu S., and Akin A. "Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean."International Journal of Applied Earth Observation and Geoinformation, 11, 46–53. 2009.
[5] Chavez P. S. JR. "Image based atmospheric corrections revisited and improved." Photogrammetric Engineering and Remote Sensing, 62, 1025–1036. 1996.
[6] Collins J. B., and Woodcock C. E. "Change detection using the Gramm–Schmidt transformation applied to mapping forest mortality."Remote Sensing of Environment, 50, 267–279. 1994..
[7] Dekker R. J. "Object based updating of land-use map of urban areas using satellite remote sensing." Proc. 12th Int. Conf. on Geoinformatics ? Geospatial Information ResearchBridging the Pacific and Atlantic University of Gävle, Sweden, 7-9 June 2004.
[8] Dirk F. and Peter H. N. "Misregistration errors in Change Detection algorithms and how to avoid them." IEEE geosciences and remote sensing letters, 0-7803-9134-9/05. 2005.
[9] Gal A., Maxim S., and Nathan S. N. "Spectral and Spatial Parameterization of Multi-Date Satellite Images for Change Detection of Linear Features." IEEE Geoscience and Remote Sensing Symposium, 2002.IGARSS, p 1848 - 1850 vol.3.
[11] Holland D.A., Boyd D.S., and Marshall P. "Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors." ISPRS Journal of Photogrammetry & Remote Sensing, 60, 212–223. 2006.
[12] Jensen. J. R."Introductory Digital Image Processing, a Remote Sensing Perspective," third edition (Prentice hall series in geographic information science). 2005.
[13] Jixian Zhang and Yonghong Zhang,. Remote sensing research issues of the National Land Use Change Program of China. ISPRS Journal of Photogrammetry & Remote Sensing, 62, 461–472. 2007.
[14] John B. Adams, Donald E. Sabol, Valerie Kapos, Raimundo Almeida Filho, Dar A. Roberts, Milton O. Smith, Alan R. Gillespie. "Classification of multi-spectral images based on fractions of endmembers: application to land-cover change in the Brazilian Amazon." Remote Sensing of Environment, Volume 52, Issue 2, Pages 137–154. 1995.
[15] Lambin E. F., and Strahler A. H. "Indicators of land-cover change for change vector analysis in multi-temporal space at coarse spatial scales." International Journal of Remote Sensing, 15, 2099–2119. 1994.
[16] Lawrence R. L. and Ripple W. J. "Calculating change curves for multi-temporal satellite imagery: Mount St. Helens 1980–1995. Remote Sensing of Environment, 67, 309–319, 1999.
[17] Liu X. and Lathrop R. G. JR." Urban change detection based on an artificial neural network." International Journal of Remote Sensing, 23, 2513–2518. , 2002.
[18] Mauro D. M., and Francesca B. "An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images." IEEE geosciences and remote sensing letters, vol.5, no. 3. 2008.
[19] Morisette J. T., Khorram S. and Mace T. "Land-cover change detection enhanced with generalized linear models." International journal of remote sensing, 20, 2703–2721. 1999.
[20] Ola Hall and Geoffrey J. Hay."A Multiscale Object-Specific Approach to Digital Change Detection."International Journal of Applied Earth Observation and Geoinformation, 4, 311–327. 2003.
[21] RiddM. K. and Liu, J. "A comparison of four algorithms for change detection in an urban environment." Remote Sensing of Environment, 63, 95–100. 1998.
[22] Singh A. "Digital change detection techniques using remotely sensed data." International Journal of Remote Sensing, vol.10, no.6, 989–1003. 1989.
[23] Soares V. P. and Hoffer, R. M. "Eucalyptus forest change classification using multi-data Landsat TM data." International Society of Optical Engineering, 2314, 281–291. 1994.
[24] Susmita G., Lorenzo B., Swarnajyoti P., Francesca B. and Ashish G. "A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks." IEEE Transaction on Geoscience and Remote Sensing, vol. 45, no. 3. 2007.
[25] Susmita G., Swarnajyoti P., and Ashish G. "An Unsupervised Context-Sensitive Change Detection Technique based on modified self-organizing feature map neural network." International Journal of Approximate Reasoning, 10.10-16, 2008.
[26] Swarnajyoti P., Susmita G. and Ashish G. "Unsupervised Change Detection in Remote Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network." IEEE 9th International Conference on Information Technology (ICIT'06) 0-7695-2635-7/06. 2006.
[27] Townshend J. R. G., Christopher 0. J., Charlotte G. and McManus, J. "The Impact of Misregistration on Change Detection."IEEE Transaction on Geoscience and Remote Sensing, vol. 30, no. 5. 1992b.
[28] Townshend J. R. G., Justice, C. O., Gurney, C., and Mcmanus, J. "The Effect of Image Misregistration on the Detection of Vegetation Change." IEEE Transactions on Geoscience and Remote Sensing, vol.30, no. 1054–1060. 1992a.
[29] Wang F. "A knowledge-based vision system for detecting land change at urban fringes." IEEE Transactions on Geoscience and Remote Sensing, 31, 136–145. 1993.
[30] Weber K. T. "A method to incorporate phenology into land cover change analysis." Journal of Range Management, 54, A1–A7. 2001.
[31] Xiaolong Dai and SiamakKhorram."Quantification of the Impact of Misregistration on the Accuracy of Remotely Sensed Change Detection." IEEE Transaction on geosciences and remote sensing, vol. 97, no. 7. 1997
[32] Yue T. X., Chen S. P., XU B., Liu Q. S., Li H. G., Liu G. H. and Ye Q. H. "A Curve theorem based approach for change detection and its application to Yellow River Delta." International Journal of Remote Sensing, 23, 2283–2292. 2002.
[33] Yves v.,Goze B. Benie, Dong C. H., Ko F. and Kalifa G. "A Forest Map Updating Expert System based on the Integration of Low Level Image Analysis and Photo-interpretation Techniques." International Journal of Remote Sensing. 2002.
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Published
2016-02-20
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Mohamed, N., & Mobarak, B. (2016). Change Detection Techniques using Optical Remote Sensing: A Survey. American Scientific Research Journal for Engineering, Technology, and Sciences, 17(1), 42–51. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1404
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