River boundary delineation from remotely sensed imagery based on SVM and relaxation labeling of water index and DSM

Journal of Theoretical and Applied Information Technology

Volumn 71, Issue 3, 2015, Pages 376-386

  Horkaew, Paramate ^a   Puttinaovarat, Supattra ^a,b   Khaimook, Kanit ^a  

^a SURANAREE UNIVERSITY OF TECHNOLOGY   (Thailand)

^b PRINCE OF SONGKLA UNIVERSITY   (Thailand)

Author keywords

Relaxation labeling; River delineation; SVM

Indexed keywords

EID: 84921991935     PISSN: 19928645     EISSN: 18173195     Source Type: Journal    
DOI: None     Document Type: Article

References (53)

1. Puech, C., Hostache, R., Raclot, D., and Matgen, P., "Estimation of flood water levels by merging dem and satellite imagery using hydraulics laws through ai to enhances the estimates, " In Proceedings of Second Space for Hydrology Workshop ESA, 2007, pp 17-24.
2. Ahmed Shaker, Wai Yeung Yan, and Nagwa El-Ashmawy., "Panchromatic Satellite Image Classification for Flood Hazard Assessment, " Journal of Applied Research and Technology, Vol. 10, pp. 902-911, 2012.
3. Sudiana, D., and Rizkinia, M, "ALOS/PALSAR Image Processing using DINSAR and LOG Ratio for Flood Early Detection in JAKARTA Based on Land Subsidence, " MAKARA of Technology Series. Vol. 15, pp. 193-200, 2012.
4. Xian, G., and Crane, M., "Assessments of urban growth in the Tampa Bay watershed using remote sensing data," Remote Sensing of Environment, Vol. 97, No. 2, 2005, pp. 203-215.
5. Rokni, K., Ahmad, A., Selamat, A., and Hazini, S., "Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery," Remote Sensing, Vol. 6, No. 5, 2014, pp. 4173-4189.
6. Kuo, B. C., Ho, H. H., Li, C. H., Hung, C. C., and Taur, J. S, "A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification," IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 7, No. 10, 2014, pp. 317-326.
7. Wang Xiaoliang and Li Chunsheng, "River boundaries extraction in mountain areas for SAR images with fusing GIS information," In Radar (Radar), 2011 IEEE CIE International Conference, Chengdu, China: IEEE, 2009, pp. 1586-1588.
8. Silveira, M., and Heleno, S, "Water/land segmentation in SAR images using level sets," In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference, San Diego, California, USA: IEEE, 2008, pp. 1896-1899.
9. Margarida Silveira and Sandra Heleno, "Classification of Water Regions in SAR Images using Level Sets and Non-Parametric Density Estimation," In IEEE International Conference on Image Processing ICIP 2009. Cairo, Egypt: IEEE, 2009, pp. 1685-1688.
10. Zhao, J., Yu, H., Gu, X., and Wang, S, "The edge detection of river model based on self adaptive Canny Algorithm and connected domain segmentation," In Intelligent Control and Automation (WCICA), 2010 8th, World Congress Jinan, China: IEEE, 2010, pp. 1333-1336.
11. Xiao, Moyan, et al. "Edge detection of riverway in remote sensing images based on curvelet transform and GVF Snake," Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, PR China, 2008, pp. 334-351.
12. Shah, M. V., Choudhary, M. A., and Tewari, K, "River extraction from satellite image," International Journal of Computer Science, Vol. 8, No. 4, 2011, pp. 386-391.
13. Wang, K., Feng, X., Xiao, P., and Wu, G, "The research on recognition and extraction of river feature in IKNOS based on frequency domain," In Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, 2009, pp. 749533-749533.
14. Xiao, G., and Tien, D, "An object-based classification approach for surface water detection," International journal of intelligent systems technologies and applications, Vol. 9, No. 3, 2010, pp. 218-227.
15. Macedo-Cruzl, A., Pajares-Martinsanz, G., and Santos-Pefias, M, "Unsupervised classification of images in RGB color model and Cluster validation techniques," In IPCV 2010, pp. 526-532.
16. Zhao, M., Shang, H., Huang, W., Zou, L., and Zhang, Y, "Water Area Extraction from RGB Aerophotograph Based on Chromatic and Textural Analysis," In GEOProcessing 2011, The Third International Conference on Advanced Geographic Information Systems, Applications, and Services, 2011, pp. 46-52.
17. McKay, P., Blain, C. A., and Linzell, R, "Automated identification of rivers and shorelines in aerial imagery using image texture," In SPIE Defense, Security, and Sensing International Society for Optics and Photonics, 2011, pp. 80300G-80300G.
18. Haibo, Y., Zongmin, W, Hongling, Z, and Yu, G., "Water body extraction methods study based on RS and GIS," Procedia Environmental Sciences, Vol. 10, 2011, pp. 2619-2624.
19. Li, M., Xu, L., and Tang, M, "An Extraction method for Water Body of Remote Sensing Image Based on Oscillatory Network," Journal of Multimedia, Vol. 6, No. 3, 2011, pp. 252-260.
20. Lacaux, J. P., Tourre, Y. M., Vignolles, C., Ndione, J. A., and Lafaye, M, "Classification of ponds from high-spatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal," Remote Sensing of Environment, Vol. 106, No. 1, 2007, pp. 66-74.
21. Xu, H, "Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery," International Journal of Remote Sensing, Vol. 27, No. 14, 2006, pp. 3025-3033.
22. Dambach, P., Machault, V., Lacaux, J. P., Vignolles, C., Sie, A., and Sauerborn, R, "Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa," Int J Health Geogr, Vol. 11, No. 8, 2012, pp. 1-12.
23. Cortes, C., and Vapnik, V, "Support-vector networks," Machine learning, Vol. 20, No. 3, 1995, pp. 273-297.
24. Vapnik, V, "The support vector method of function estimation," In Nonlinear Modeling, Springer US, 1998, pp. 55-85.
25. Ge, Q. Z., Ling, Z. C., Qiong, L., Hui, X. X., and Zhang, G, "High efficient classification on remote sensing images based on SVM," Proc. of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, pp. 1011-1014.
26. Sakthi G., and Nedunchezhian, R., "Novel Optimization Technique for Classification of Remote Sensing Data using SVM," Journal of Theoretical and Applied Information Technology, Vol. 59, No. 3, 2014, pp. 725-734.
27. Shahkooeei, E., Arekhi, S., and Kani, A. N, "Remote sensing and GIS for mapping and monitoring land cover and land use changes using support vector machine algorithm (Case study: Ilam dam watershed)," International Research Journal of Applied and Basic Sciences, Vol. 8, No. 4, 2014, pp. 464-473.
28. Jin, H., Feng, Y., and Shen, Y, "Accurate urban road model reconstruction from high resolution remotely sensed imagery based on Support Vector Machine and Gabor filters," In: Joint Urban Remote Sensing Event (JURSE), 11-13 April, Munich, Germany, Germany, 2011.
29. Baluyan, H., Joshi, B., Al Hinai, A., and Woon, W. L, "Novel Approach for Rooftop Detection Using Support Vector Machine," ISRN Machine Vision, Vol. 2013, 2013, pp. 1-11.
30. Lv, W., Yu, Q., and Yu, W, "Water extraction in SAR images using GLCM and Support Vector Machine," In Signal Processing 2010 IEEE 10th International Conference, 2010, pp. 740-743.
31. Klemenjak, S., Waske, B., Valero, S., and Chanussot, J, "Unsupervised river detection in RapidEye data," In IGARSS, 2012, pp. 6860-6863.
32. MCFEETERS, S. K., "The use of normalized difference water index (NDWI) in the delineation of open water features," International Journal of Remote Sensing, Vol. 17, No. 7, 1996, pp. 1425-1432.
33. Wang, Y., Huang, F., and Wei, Y, "Water body extraction from LANDSAT ETM+ image using MNDWI and KT transformation," In Geoinformatics 21st International Conference, 2013, pp. 1-5.
34. Li, M., Xu, L., and Tang, M, "An Extraction method for Water Body of Remote Sensing Image Based on Oscillatory Network," Journal of Multimedia. Vol. 6, No. 3, 2011, pp. 252-260.
35. Chao, Z., and Sheng, M, "Study on extraction methods for water information in Nantong city, China using Landsat ETM+ data," In Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference, 2011, pp. 771-774.
36. Jiang, H., Feng, M., Zhu, Y., Lu, N., Huang, J., and Xiao, T. "An Automated Method for Extracting Rivers and Lakes from Landsat Imagery," Remote Sensing, Vol. 6, No. 6, 2014, pp. 5067-5089.
37. Shen, L., and Li, C, "Water body extraction from Landsat ETM+ imagery using adaboost algorithm," In Geoinformatics, 18th International Conference, 2010, pp. 1-4.
38. Baig, M. H. A., Zhang, L., Wang, S., Jiang, G., Lu, S., and Tong, Q., "Comparison of MNDWI and DFI for water mapping in flooding season," In IGARSS, 2013, pp. 2876-2879.
39. Weidner, U, "Digital surface models for building extraction," In Automatic extraction of man-made objects from aerial and space images (II) Birkhäuser Basel, 1997, pp. 193-202.
40. Bredif, M., Tournaire, O., Vallet, B., and Champion, N, "Extracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework," ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 77, 2013, pp. 57-65.
41. Li Y., Lin Z. L., and Shimamura H, "Integrated method of building extraction from Digital Surface Model and imagery," The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII. Part B3b, 2008, pp. 81-86.
42. Leventi, I., Nalbantis, I., and Georgopoulos, A, "On the use of Digital Surface Models and hydrological/hydraulic models for inundated area delineation," In Environment Hydraulics, 2010, pp. 875-880.
43. Yorozuya, A., Kamimera, H., Okazumi, T., Iwami, Y., and Kwak, Y, "Estimation of water surface elevation on inundated area using satellite based information," In MODSIM2013, 20th International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, 2013, pp. 2353-2359.
44. Song, Y. S., Sohn, H. G., and Park, C. H, "Efficient water area classification using Radarsat-1 SAR imagery in a high relief mountainous environment," Photogrammetric Engineering & Remote Sensing, Vol. 73, No. 3, 2007, pp. 285-296.
45. Rosenfeld, A., R. Hummel and S. Zucker, "Scene labelling using relaxation operations," IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-6, 1976, pp. 420-433.
46. Eklundh, J. O., Yamamoto, H, and Rosenfeld, A., "A relaxation method for multispectral pixel classification," Pattern Analysis and Machine Intelligence, IEEE Transactions, Vol. 1, 1980, pp. 72-75.
47. Rizvi, I., Mohan, B. K., and Narayana, E. L, "Accuracy Enhancement of Object Based Image Classification using Relaxation Labeling Process for High Resolution Satellite Image," In ASPRS 2011 Annual Conference, 2011, pp. 1-8.
48. Paclık, P., Duin, R. P., Van Kempen, G. M., and Kohlus, R., "Segmentation of multispectral images using the combined classifier approach," Image and Vision Computing, Vol. 21, No. 6, 2003, pp. 473-482.
49. Zhou, Q., and Sun, H, "Digital image classification using label relaxation for improved ground vegetation cover investigation," In Procs. 8th Australasian Photogrammetry and Remote Sensing, 1996, pp. 25-29.
50. Suzuki, K., Horiba, I., and Sugie, N, "Lineartime connected-component labeling based on sequential local operations," Computer Vision and Image Understanding, Vol. 89, No. 1, 2003, pp. 1-23.
51. Yapa, R. D., and Harada, K., "Connected component labeling algorithms for gray-scale images and evaluation of performance using digital mammograms," International Journal of Computer Science and Network Security, Vol. 8, No. 6, 2008, pp. 33-41.
52. Jau, U. L., and Teh, C. S, "Real-time objectbased video segmentation using colour segmentation and connected component labeling," In Visual Informatics: Bridging Research and Practice, Springer Berlin Heidelberg, 2009, pp. 110-121.
53. Karthikeyan, V., Vijayalakshmi, V. J., and Jeyakumar, P, "License Plate Segmentation Using Connected Component Analysis," Journal of Electronics and Communication Engineering, Vol. 4, No. 5, 2013, pp. 18-24.