Automatic detection of rivers in high-resolution SAR data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 5, 2012, Pages 1364-1372

  Klemenjak, Sascha ^a   Waske, Björn ^a   Valero, Silvia ^b   Chanussot, Jocelyn ^b  

^a UNIVERSITY OF BONN   (Germany)

^b GIPSA LAB   (France)

Author keywords

Linear features extraction; mathematical morphology; SVM; TerraSAR X; water framework directive

Indexed keywords

ACCURACY ASSESSMENT; ALTERNATIVE APPROACH; ALTERNATIVE METHODS; AUTOMATIC DETECTION; AUTOMATIC EXTRACTION; DATA SETS; ENVIRONMENTAL TREATIES; EUROPEAN WATER FRAMEWORK DIRECTIVE; HIGH-RESOLUTION SAR; LARGE-SCALE APPLICATIONS; LINEAR FEATURE; MULTI-TEMPORAL; OPERATIONAL APPLICATIONS; OPERATIONAL MONITORING SYSTEM; RIVER NETWORK; SATELLITE DATA; STUDY SITES; SVM; TERRASAR-X; TRAINING SAMPLE; USER INPUT; USER INTERACTION; WATER FRAMEWORK DIRECTIVES;

ENVIRONMENTAL REGULATIONS; INTERNATIONAL COOPERATION; MATHEMATICAL MORPHOLOGY; REMOTE SENSING; SATELLITES; WATER CONSERVATION;

RIVERS;

ACCURACY ASSESSMENT; DATA SET; DECISION MAKING; DETECTION METHOD; IMAGE CLASSIFICATION; MONITORING SYSTEM; PERFORMANCE ASSESSMENT; RIVER MANAGEMENT; SATELLITE DATA; SYNTHETIC APERTURE RADAR; TERRA (SATELLITE);

EID: 84869872866     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2189099     Document Type: Article

References (40)

1. "Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy," Official J. European Communities, The European Parliament and the Council of the European Union, vol. 327, pp. 1-72, 2000.
2. T. Dworak, C. Laaser, S. Kuntz, and F. M. Seifert, "Possible contributions of ESA Global Monitoring for Environment and Security initiative for the WFD implementation," Environ. Sci. Policy, vol. 8, no. 3, pp. 321-326, 2005.
3. Å. Rosenqvist, A. Milne, R. Lucas, M. Imhoff, and C. Dobson, "A review of remote sensing technology in support of the Kyoto Protocol," Environ. Sci. Policy, vol. 6, no. 5, pp. 441-455, 2003.
4. N. Peter, "The use of remote sensing to support the application of multilateral environmental agreements," Space Policy, vol. 20, no. 3, pp. 189-195, 2004.
5. Q. Chen,Y. Zhang,A. Ekroos, and M. Hallikainen, "The role of remote sensing technology in the EU water framework directive (WFD)," Environ. Sci. Policy, vol. 7, no. 4, pp. 267-276, 2004.
6. M. Bresciani, D. Stroppiana, D. Odermatt, G. Morabito, and C. Giardino, "Assessing remotely sensed chlorophyll-A for the implementation of the Water Framework Directive in European perialpine lakes," Sci. Total Environ., vol. 409, no. 17, pp. 3083-3091, 2011.
7. C. Giardino, M. Bresciani, P. Villa, and A. Martinelli, "Application of remote sensing in water resource management: The case study of Lake Trasimeno, Italy," Water Resources Management, vol. 24, no. 14, pp. 3885-3899, 2010.
8. J. A. D. Gómez, C. A. Alonso, and A. A. García, "Remote sensing as a tool for monitoring water quality parameters for Mediterranean Lakes of European Union water framework directive (WFD) and as a system of surveillance of cyanobacterial harmful algae blooms (SCyanoHABs)," Environmental Monitoring and Assessment, vol. 181, no. 1-4, pp. 317-334, 2011.
9. Q. Chen, Y. Zhang, and M. Hallikainen, "Water quality monitoring using remote sensing in support of the EU water framework directive (WFD): A case study in the Gulf of Finland," Environmental Monitoring and Assessment, vol. 124, no. 1-3, pp. 157-166, 2006.
10. L. J. Quackenbush, "A review of techniques for extracting linear features from imagery," Photogramm. Eng. Remote Sens., vol. 70, no. 12, pp. 1383-1392, 2004.
11. G. Zhou, Y. Cui, Y. Chen, J. Yang, H. Rashvand, and Y. Yamaguchi, "Linear feature detection in polarimetric SAR images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 4, pp. 1453-1463, 2011.
12. S. Valero, J. Chanussot, J. A. Benediktsson, H. Talbot, and B. Waske, "Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images," Pattern Recognit. Lett., vol. 31, no. 10, pp. 1120-1127, 2010.
13. C. Poullis and S. You, "Delineation and geometric modeling of road networks," ISPRS J. Photogramm. Remote Sens., vol. 65, no. 2, pp. 165-181, 2010.
14. C. Zhu,W. Shi,M. Pesaresi, L. Liu, X. Chen, and B. King, "The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics," Int. J. Remote Sens., vol. 26, no. 24, pp. 5493-5508, 2005.
15. C. Lacoste, X. Descombes, and J. Zerubia, "Point processes for unsupervised line network extraction in remote sensing," IEEE Trans. Pattern Analysis Machine Intell., vol. 27, no. 10, pp. 1568-1579, 2005.
16. S. Aksoy, H. G. Akcay, and T. Wassenaar, "Automatic mapping of linear woody vegetation features in agricultural landscapes using very high resolution imagery," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 511-522, 2010.
17. G. Wang, S. Huang, and L. Jiao, "An automatic bridge detection technique for high resolution SAR images," in Proc. 2nd Asian-Pacific Conf. Synthetic Aperture Radar, APSAR 2009, Xian, Shanxi, 2009, pp. 498-501.
18. D. Chaudhuri and A. Samal, "An automatic bridge detection technique for multispectral images," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 9, pp. 2720-2727, 2008.
19. C. R. Dillabaugh, K. O. Niemann, and D. E. Richardson, "Semi-Automated extraction of rivers from digital imagery," GeoInformatica, vol. 6, no. 3, pp. 263-284, 2002.
20. M. Pesaresi and J. A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, 2001.
21. H. Heijmans,M. Buckley, and H. Talbot, "Path openings and closings," J. Math. Imag. Vis., vol. 22, no. 2, pp. 107-119, 2005.
22. J. Serra, Image Analysis and Mathematical Morphology. London, U.K.: Academic Press, 1982.
23. M. D. Mura, J. A. Benediktsson, B. Waske, and L. Bruzzone, "Morphological attribute profiles for the analysis of very high resolution images," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3747-3762, 2010.
24. J. Chanussot, G. Mauris, and P. Lambert, "Fuzzy fusion techniques for linear features detection in multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1292-1305, 1999.
25. C. L. L. Hendriks, "Constrained and dimensionality-independent path openings," IEEE Trans. Image Process., vol. 19, no. 6, pp. 1587-1595, 2010.
26. C. A. Glasbey, "An analysis of histogram-based thresholding algorithms," CVGIP: GraphicalModels and Image Processing, vol. 55, no. 6, pp. 532-537, 1993.
27. P. L. Rosin, "Unimodal thresholding," Pattern Recognit., vol. 34, no. 11, pp. 2083-2096, 2001.
28. G. Mountrakis, J. Im, and C. Ogole, "Support vector machines in remote sensing: A review," ISPRS J. Photogramm. Remote Sens., vol. 66, no. 3, pp. 247-259, 2010.
29. B.Waske and S. van der Linden, "Classifying multilevel imagery from SAR and optical sensors by decision fusion," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1457-1466, 2008.
30. B. Waske and J. A. Benediktsson, "Fusion of support vector machines for classification of multisensor data," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 3858-3866, 2007.
31. V. N. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
32. G.M. Foody and A.Mathur, "A relative evaluation of multiclass image classification by support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1335-1343, 2004.
33. A. Rabe, S. van der Linden, and P. Hostert, "ImageSVM," 2009 [Online]. Available: www.hu-geomatics.de, 2.0
34. B. Waske, S. van derLinden, J. A. Benediktsson, A. Rabe, and P. Hostert, "Sensitivity of support vector machines to random feature selection in classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 7, pp. 2880-2889, 2010.
35. M. Pal and G.M. Foody, "Feature selection for classification of hyperspectral data by SVM," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2297-2307, 2010.
36. B. Waske, S. van der Linden, J. A. Benediktsson, A. Rabe, and P. Hostert, "Impact of different morphological profiles on the classification accuracy of urban hyperspectral data," in Proc. 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France, 2009, pp. 1-4.
37. R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artificial Intelligence, vol. 97, no. 1-2, pp. 273-324, 1997.
38. L.Vincent, "Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms," IEEE Trans. Image Process., vol. 2, no. 2, pp. 176-201, 1993.
39. F. Tupin, H. Maitre, J. F. Mangin, J. M. Nicolas, and E. Pechersky, "Detection of linear features in SAR images: Application to road network extraction," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 2, pp. 434-453, 1998.
40. H. McNairn, C. Champagne, J. Shang, D. Holmstrom, and G. Reichert, "Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories," ISPRS J. Photogramm. Remote Sens., vol. 64, no. 5, pp. 434-449, 2009.