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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 37, 2011 - Issue 1
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Research Article

Multivariate performance measures for evaluating speckle suppression filters for multitemporal multi-incident SAR imagery

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Pages 55-68 | Received 05 Feb 2010, Accepted 19 Apr 2011, Published online: 02 Jun 2014

  • Adair, M. and Guindon, B. Methods for evaluating speckle-suppressing filters based on edge detection performance. Canadian Journal of Remote Sensing . 1989. Vol. 15, No. 2, pp. 100-108.
  • Anfinsen, S.N. , Doulgeris, A.P. and Eltoft, T. Estimation of the equivalent number of looks in polarimetric synthetic aperture radar imagery. IEEE Transactions on Geoscience and Remote Sensing . 2009. Vol. 47, No. 11, pp. 61-81.
  • Anys, H. , Bannari, A. , He, D.C. and Morin, D. Texture analysis for the mapping of urban areas using airborne MEIS-II images. In Proceedings of the First International Airborne Remote Sensing Conference and Exhibition, Strasbourg, France . 1994. Vol. 3, pp. 231-245.
  • Barber, D. and LeDrew, E. SAR sea ice discrimination using texture statistics—a multivariate approach. Photogrammetric Engineering and Remote Sensing . 1991. Vol. 57, No. 4, pp. 385-395.
  • Baronti, S. , Carla, R. , Sigismondi, S. and Alparone, L. Principal component analysis for change detection on polarimetric multitemporal SAR data. IGARSS'94, Geoscience and Remote Sensing Symposium, International . 1994. 12 August 1994, Vol. 4, pp. 2152–2154
  • Belcher, B.M. Rattan cultivation and livelihoods: the changing scenario in Kalimantan . 2001. Forest Product and People Programme, Center for International Research Jakarta, Indonesia, pp. 77–87.
  • Berger, D.H. Texture as a discriminant of crops on radar images. IEEE Transactions on Geoscience Electronics . 1970. Vol. 8, No. 4, pp. 334-348.
  • Bo, Y. , Wang, J. , Zhu, C. and Gen, Y. A wavelet-based filter for SAR speckle reduction and the comparative evaluation on its performance. In Proceedings of the SPIE, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II . 2003. Vol. 4886, pp. 279-288.
  • Chomczimsky, W. , Mejail, M. , Jacobo-Berlles, J.C. , Varela, A. and Kornblit, F. Classification of SAR images based on estimates of the parameters of the GO A distribution. In Proceedings of SPIE, Mathematical Modeling and Estimation Techniques in Computer Vision . 1998. Vol. 3457, pp. 202-208.
  • Chou, M.D. , Lindzen, R.S. and Hou, A.Y. Reply to: “Tropical cirrus and water vapour: an effective earth infrared iris feedback?”. Atmospheric Chemistry and Physics . 2002. Vol. 2, No. 1, pp. 99-101.
  • Clausi, D.A. and Yue, B. Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery. IEEE Transactions on Geoscience and Remote Sensing . 2004. Vol. 42, No. 1, pp. 215-228.
  • Cloude, S.R. and Pottier, E. A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing . 1996. Vol. 34, No. 2, pp. 498-518.
  • Dashasilaruk, S. , Rangsanser, Y. and Tahitimajshima, P. Application of multiscale edge detection to speckle reduction of SAR images. In 20th Asian Conference on Remote Sensing . 1999. Poster Session No. 4. Hong Kong, China, 1999, pp. 27–34
  • Dewi, S. , Belcher, B. and Puntodewo, A. Village economic opportunity, forest dependence, and rural livelihoods in East Kalimantan, Indonesia. World Development . 2005. Vol. 33, No. 9, pp. 1419-1434.
  • Durand, J.M. , Jacqueline, P.R. and Gimonet, B.J. SAR data filtering for classification. IEEE Transactions on Geoscience and Remote Sensing . 1987. Vol. 25, No. 5, pp. 629-637.
  • ENVI ITT Visual Information Solutions. 2009. http://www.ittvis.com/ProductServices/ENVI/Tutorials.aspx [accessed August 2009].
  • Escalante-Ramirez, B. and Lira-Chavez, J. Performance-oriented analysis and evaluation of modern adaptive speckle reduction techniques in SAR images. In Proceedings of SPIE, Visual Information Processing V . 1996. Vol. 2753, pp. 18-27.
  • Forster, B. Current advances in radar remote sensing research and its application in south east Asia. Geocarto International . 1996. Vol. 11, No. 4, pp. 3-10.
  • Frost, V.S. , Stiles, J.A. , Shanmugan, K.S. and Holtzman, J.C. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Transactions in Pattern Analysis and Machine Intelligence . 1982. Vol. 4, No. 2, pp. 157-166.
  • Frulla, L.A. , Milovich, J.A. and Gagliardini, D.A. Automatic computation of speckle standard deviation in SAR images. International Journal of Remote Sensing . 2000. Vol. 21, No. 15, pp. 2883-2899.
  • Grover, K. , Quegan, S. and Costa-Freitas, C. Quantitative estimation of tropical forest cover by SAR. IEEE Transactions on Geoscience and Remote Sensing . 1999. Vol. 37, No. 1, pp. 479-490.
  • Hagg, W. and Sties, M. Efficient Speckle Filtering of SAR Images. IGARSS'94, Geoscience and Remote Sensing Symposium, Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation . 1994. Vol. 4, pp. 2140-2142. 8–12 August 1994, Pasadena, California
  • Haralick, R.M. , Shanmugan, K. and Dinstein, I. Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics . 1973. Vol. 3, No. 6, pp. 610-621.
  • Herold, M. , Liu, X.H. and Clarke, K.C. Spatial metrics and image texture for mapping urban land use. Photogrammetric Engineering & Remote Sensing . 2003. Vol. 69, No. 9, pp. 991-1002.
  • Herold, N.D. and Haack, B.N. Fusion of radar and optical data for land cover mapping. Geocarto International . 2002. Vol. 17, No. 2, pp. 19-27.
  • Herold, N.D. , Haack, B.N. and Solomon, E. Radar spatial considerations for land cover extraction. International Journal of Remote Sensing . 2005. Vol. 26, No. 7, pp. 1383-1401.
  • Hoekman, D.H. and Vissers, M.A.M. A New polarimetric classification approach evaluated for agricultural crops. IEEE Transactions on Geoscience and Remote Sensing . 2003. Vol. 41, No. 12, pp. 2881-2889.
  • Johnson, G.E. , Achutuni, V.R. and Orsini, J.B. The use of NOAA AVHRR data as a tool for operational agroclimatic assesment in Asia. 10th Asian Conference on Remote Sensing . 1989. 23–29 November 1989, Kuala Lumpur, Malaysia
  • Kasischke, E.S. , Melack, J.M. and Dobson, M.C. The use of imaging radars for ecological applications-a review. Remote Sensing of Environment . 1997. Vol. 59, No. 2, pp. 141-156.
  • Kuan, D.T. , Sawchuk, A.A. , Strand, T.C. and Chavel, P. Adaptive noise smoothing filter for image with signal-dependent noise. IEEE Transactions in Pattern Analysis and Machine Intelligence . 1985. Vol. 2, No. 2, pp. 165-177.
  • Kuan, D.T. , Sawchuk, A.A. , Strand, T.C. and Chavel, P. Adaptive restoration of images with speckle. IEEE Transactions on Acoustics, Speech, and Signal Processing . 1987. Vol. 35, No. 3, pp. 373-383.
  • Lee, J.S. Refined filtering of image noise using local statistics. Computer Graphic and Image Processing . 1981. Vol. 15, No. 4, pp. 380-389.
  • Lee, J.S. Speckle suppression and analysis for synthetic aperture radar images. Optical Engineering . 1986. Vol. 25, No. 5, pp. 636-643.
  • Legendre, P. and Legendre, L. Numerical Ecology, Second English Edition . 1998. Amsterdam, the Netherlands Elsevier, B.V. pp. 616-625.
  • Li, C. Two adaptive filters for speckle reduction in SAR images by using the variance ratio. International Journal of Remote Sensing . 1988. Vol. 9, No. 4, pp. 641-653.
  • Liu, Z. , Wang, C. and Qi, S. Statistical ratio rank-ordered differences filter for radar speckle removal. In Proceedings of the SPIE Image and Signal Processing for Remote Sensing IX . 2004. Vol. 5238, pp. 524-531.
  • Lopes, A. , Touzi, R. and Nezry, E. Adaptive speckle filters and scene heterogeneity. IEEE Transactions on Geoscience and Remote Sensing . 1990. Vol. 28, No. 6, pp. 992-1000.
  • Lopes, A. , Nezry, E. , Touzi, R. and Laur, H. Structure detection and adaptive speckle filtering in SAR images. International Journal of Remote Sensing . 1993. Vol. 14, No. 9, pp. 1735-1758.
  • Lu, Y.H. , Tan, S.Y. , Yeo, T.S. , Ng, W.E. , Lim, I. and Zhang, C.B. Adaptive filtering algorithms for SAR speckle reduction. Geoscience and Remote Sensing Symposium, 1996. IGARSS ‘96. “Remote Sensing for a Sustainable Future”, International . 1996. Vol. 1, pp. 67-69.
  • Luckman, A. , Groom, G. and Baker, J. Forest age discrimination from texture measures of SAR imagery. In Geoscience and Remote Sensing Symposium, IGARSS-Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International . 1994. Vol. 1, pp. 104-107.
  • Luckman, A. , Baker, J. , Honzak, M. and Lucas, R. Tropical forest biomass density estimation using JERS-1 SAR: seasonal variation, confidence limits, and application to image mosaics. Remote Sensing of Environment . 1998. Vol. 63, No. 2, pp. 126-139.
  • Manitoba Remote Sensing Centre Manitoba Flood Monitoring System (MFMS) Manitoba Natural Resources . 1997. Canadian Centre for Remote Sensing
  • Mascarenhas, N. A comparative study of speckle reduction filters in SAR images and their application for classification performance improvement. In The 24th International Symposium on Remote Sensing of Environment . 1991. May 27–31, 1991, Rio de Janeiro, Brazil
  • Mastriani, M. and Giraldez, A.E. Enhanced directional smoothing algorithm for edge-preserving smoothing of synthetic aperture radar images. Measurement Science Review . 2004. Vol. 4, No. 3, pp. 1-11.
  • McNairn, H. and Brisco, B. The application of C-Band polarimetric SAR for agriculture: a review. Canadian Journal of Remote Sensing . 2004. Vol. 30, No. 3, pp. 525-542.
  • Minister of Trade Decree Concerning Regulation of the Export of Rattan . 2004. Republic of Indonesia, Jakarta, Indonesia. No. 355/MPP/Kep/5/2004
  • Myint, S.W. A robust texture analysis and classification approach for urban land use and land cover feature discrimination. Geocarto International . 2001. Vol. 16, No. 4, pp. 27-38.
  • NASA SAR-Synthetic Aperture Radar-Instrument Panel Report . 1989. pp. 233. Earth Observing System Reports, Vol. IIf
  • Nyoungui, A.N. , Tonye, E. and Akono, A. Evaluation of speckle filtering and texture analysis methods for land cover classification from SAR images. International Journal of Remote Sensing . 2002. Vol. 23, pp. 1895-1925.
  • Oliver, C. and Quegan, S. Understanding Synthetic Aperture Radar Images . 2004. pp. 506. SciTech Publishing Inc., Raleigh, NC
  • Poffenberger, M. and McGean, B. Communities and Forest Management in East Kalimantan: Pathway to Environmental Stability . 1993. Center for Southeast Asia Studies/International and Area Studies, University of California, California
  • Prasad, T.S. and Gupta, R.K. Texture based classification of multidate SAR images – a case study. Geocarto International . 1998. Vol. 13, No. 3, pp. 53-62.
  • R Development Core Team R: A language and environment for statistical computing . 2009. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org [accessed August 2009]
  • Shi, Z. and Fung, K.B. A comparison of digital speckle filters. In Proceedings of IGARSS 94, 8–12 August 1994. Canadian Centre for Remote Sensing . 1994. Vol. 4, pp. 2129-2133.
  • Short, N.H. , Simms, E.L. and Jacobs, J.D. RADARSAT SAR applied to ice margin mapping: the Barnes ice cap, Nunavut, Canada. Canadian Journal of Remote Sensing . 2000. Vol. 26, No. 2, pp. 91-102.
  • Soh, L. and Tsatsoulis, C. Texture representation of SAR sea ice imagery using multi-displacement co-occurrence matrices. IGARSS'96 Conference . 1996. Vol. 1, pp. 112-114.
  • Sokol, J. , McNairn, H. and Pultz, T.J. Case study demonstrating the hydrological applications of C-band multipolarized and polarimetric SAR. Canadian Journal of Remote Sensing . 2004. Vol. 30, No. 3, pp. 470-483.
  • Song, M. and Civco, D.L. A knowledge-based approach for reducing cloud and shadow. ASPRS–ACSM Annual Conference and FIG XXII Congress . 2002. April 22–26, 2002
  • Tilton, J.C. Hybrid image segmentation for earth remote sensing data Analysis. Geoscience and Remote Sensing Symposium, 1996. IGARSS'96: “Remote Sensing for a Sustainable Future”, International . 1996. Vol. 1, pp. 703-705.
  • Tso, B. and Olsen, R.C. Scene classification using combined spectral, textual, and contextual information. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X. Proceedings of the SPIE . 2004. Vol. 5425,
  • Ulaby, F.T. , Moore, R.K. and Fung, A.K. Microwave remote sensing: active and passive. Volume II. Radar remote sensing and surface scattering and emission theory . Addison-Wesley, Reading, Mass . 1982. pp. 457-1065.
  • Walessa, M. and Datcu, M. Model-based despeckling and information extraction from SAR images. IEEE Transactions on Geoscience and Remote Sensing . 2000. Vol. 38, No. 5, pp. 2258-2269.
  • Whitten, T. , Soeriaatmadja, R.E. and Afiff, S.A. The ecology of Java and Bali, The ecology of Indonesia series, Vol. 2 . 1996. Hong Kong Periplus Editions
  • Xiao, J. , Li, J. and Moody, A. A detail-preserving and flexible adaptive filter for speckle suppression in SAR imagery. International Journal of Remote Sensing . 2003. Vol. 24, No. 12, pp. 2451-2465.
  • Yan, Y. , Yinqing, Z. and Li, C.S. Quantitative assessment of speckle filters for SAR images. Proceedings of SPIE, Second International Conference on Image and Graphics . 2002. Vol. 4875, pp. 428-433. Edited by Wei Sui
  • Yatabe, S.M. and Leckie, D.G. Clearcut and forest type discrimination in satellite SAR imagery. Canadian Journal of Remote Sensing . 1995. Vol. 21, No. 4, pp. 455-467.
  • Zagolski, F. , Foucher, S. and Gaillard, C. European Space Agency-Publications-ESA SP. 450. Sensitivity of SAR Speckle Filtering on the Assessment of Surface Roughness and Soil Moisture Content . 2000. pp. 213-218.

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