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Original Articles

RGB SAR products: methods and applications

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Pages 777-793 | Received 14 Jul 2016, Accepted 01 Sep 2016, Published online: 17 Feb 2017

References

  • Amitrano D., Belfiore V., Cecinati F., Di Martino G., Iodice A., Mathieu P.-P., Medagli S., Poreh D., Riccio D., Ruello G. (2016a)—Urban areas enhancement in multitemporal SAR RGB images using adaptive coherence window and texture information. IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, 9: 3740–3752. doi: http://dx.doi.org/10.1109/JSTARS.2016.2555340.
  • Amitrano D., Cecinati F., Di Martino G., Iodice A., Mathieu P.-P., Riccio D., Ruello G. (2016)—Multitemporal Level-1β Products: Definitions, Interpretation, and Applications. IEEE Transactions on Geoscience and Remote Sensing, 54 (11): 6545–6562. doi: http://dx.doi.org/10.1109/TGRS.2016.2586189.
  • Amitrano D., Di Martino G., Iodice A., Riccio D., Ruello G. (2015)—A New Framework for SAR Multitemporal Data RGB Representation: Rationale and Products. IEEE Transactions on Geoscience and Remote Sensing, 53: 117–133. doi: http://dx.doi.org/10.1109/TGRS.2014.2318997.
  • Amitrano D., Di Martino G., Iodice A., Riccio D., Ruello G. (2016b)—An end-user oriented framework for the classification of multitemporal SAR images. International Journal of Remote Sensing, 37: 248–261.
  • Amitrano D., Di Martino G., Iodice A., Ruello G., Ciervo F., Papa M.N., Koussoube Y. (2014)—Effectiveness of high-resolution SAR for water resource management in low-income semi-arid countries. International Jorunal of Remote Sensing, 35: 70–88. doi: http://dx.doi.org/10.1080/01431161.2013.862605.
  • Benz U., Pottier E. (2001)—Object based analysis of polarimetric SAR data in alpha-entropy-anisotropy decomposition using fuzzy classification by eCognition. Proceedings of the IEEE International Geoscience and Remote Sensing Symposiym, pp. 1427–1429. doi: http://dx.doi.org/10.1109/igarss.2001.976867.
  • Blaschke T. (2010)—Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65: 2–16. doi: http://dx.doi.org/10.1016/j.isprsjprs.2009.06.004.
  • Boehm C., Schenkel R. (2006)—Analysis of Spatial Patterns of Urban Areas Using High Resolution Polarimetric SAR. Proceedings of the 1st EARSel Workshop of the SIG Urban Remote Sensing.
  • Campbell J.B., Wynne R.H. (2011)—Introduction to Remote Sensing. The Guilford Press, New York.
  • Datcu M., Seidel K. (2005)—Human Centered Concepts for Exploration and Understanding of Earth Observation Images. IEEE Transactions on Geoscience and Remote Sensing, 43: 52–59. doi: http://dx.doi.org/10.1109/TGRS.2005.843253.
  • De Grandi G.F., Leysen M., Lee J.S., Schuler D. (1997)—Radar reflectivity estimation using multiple SAR scenes of the same target: technique and applications. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1047–1050. doi: http://dx.doi.org/10.1109/igarss.1997.615338.
  • Dellepiane S.G., Angiati E. (2012)—A New Method for Cross-Normalization and Multitemporal Visualization of SAR Images for the Detection of Flooded Areas. IEEE Transaction on Geoscience and Remote Sensing, 50: 2765–2779. doi: http://dx.doi.org/10.1109/TGRS.2011.2174999.
  • Demarchi L., Bizzi S., Piégay H. (2016)—Hierarchical object-based mapping of riverscape units and in-stream mesohabitats using LiDAR and VHR imagery. Remote Sensing, 8 (2): 97. doi: http://dx.doi.org/10.3390/rs8020097.
  • Di Martino G., Poderico M., Poggi G., Riccio D., Verdoliva L. (2014)—Benchmarking Framework for SAR Despeckling. IEEE Transactions on Geoscience and Remote Sensing, 52: 1596–1615. doi: http://dx.doi.org/10.1109/TGRS.2013.2252907.
  • Fischer W.A., Hemphill W.R., Kover A. (1976)—Progress in remote sensing (1972–1976). Photogrammetria, 32: 33–72. doi: http://dx.doi.org/10.1016/0031-8663(76)90013-2.
  • Flanders D., Hall-Beyer M., Pereverzoff J. (2003)—Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction. Canadian Journal of Remote Sensing, 29: 441–452. doi: http://dx.doi.org/10.5589/m03-006.
  • Fung A.K. (1979)—Scattering from a Vegetation Layer. IEEE Transactions on Geoscience Electronics, 17: 1–6. doi: http://dx.doi.org/10.1109/TGE.1979.294601.
  • Infoterra (2014)—Radiometric Calibration of TerraSAR-X Data. Available online at: http://www2.geo-airbusds.com/files/pmedia/public/r465_9_tsx-x-itd-tn-0049-radiometric_calculations_i3.00.pdfAaccessed1.4.16).
  • Jacobson N.P., Gupta M.R., Cole J.B. (2007)—Linear Fusion of Image Sets for Display. IEEE Transactions on Geoscience and Remote Sensing, 45: 3277–3288. doi: http://dx.doi.org/10.1109/TGRS.2007.903598.
  • Madhok V., Landgrebe D.A. (2002)—A Process Model for Remote Sensing Data Analysis. IEEE Transactions on Geoscience and Remote Sensing, 40: 680–686. doi: http://dx.doi.org/10.1109/TGRS.2002.1000327.
  • Mangelsdorf J., Scheurmann K., Weiss F.H. (2013)—River morphology: a guide for geoscientists and engineers. Springer, Berlin, Heidelberg.
  • Marr D. (1982)—Vision. W. H. Freeman, San Francisco.
  • Martinez J., Le Toan T. (2007)—Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data. Remote Sensing of Environment, 108: 209–223. doi: http://dx.doi.org/10.1016/j.rse.2006.11.012.
  • Matsuyama T., Hwang V.S.-S. (1990)—SIGMA—A Knowledge-Based Aerial Image Understanding System. Plenum Press, New York.
  • Meinel G., Neubert M. (2004)—A comparison of segmentation programs for high resolution remote sensing data. The International Archive of the Photogrammetry, Remote Sensing and Spatial Information Science, 35: 1097–1105.
  • Nagao M., Matsuyama T. (1980)—A Structural Analysis of Complex Aerial Photographs. Plenum Press, New York. doi: http://dx.doi.org/10.1007/978-1-4615-8294-6.
  • Potere D., Schneider A., Angel S., Civco D. (2009)—Mapping urban areas on a global scale: which of the eight maps now available is more accurate? International Journal of Remote Sensing, 30: 6531–6558. doi: http://dx.doi.org/10.1080/01431160903121134.
  • Trimble Germany GmbH (2014)—eCognition Reference Book. Munich.
  • Tzotsos A., Iosifidis C., Argials D. (2008)—A hybrid texture-based and region based multi-scale image segmentation algorithm. In: Blaschke T., Lang S., Hay G. (Eds.), Object- Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Springer-Verlag, Berlin, Heidelberg. doi: http://dx.doi.org/10.1007/978-3-540-77058-9_12.
  • Weeks J.R. (2010)—Defining Urban Areas. In: Rashed T., Jurgens C. (Eds.), Remote Sensing of Urban and Suburban Areas, Springer, Berlin. doi: http://dx.doi.org/10.1007/978-1-4020-4385-7_3.