Abstract

The usage of satellite images and extracting road from the imagery becomes very significant in the services related to road transportation such as maintenance, creation and so on. The literature has numerous works for road extraction but very less contribution is found in dealing with rural areas. In the previous work, ANN-based road extraction technique has been proposed. However to improve the performance of the technique, herewith a new road extraction technique is proposed. The proposed technique extracts the road mainly with the contribution of gradient operation and skeletal ray formation over the subjected satellite imagery. As minor operations, filtering and threshold-based processing is performed. At the end, a coloring is performed followed by a morphological operation to extract the final road from the subjected rural areas. The proposed technique is tested with different satellite images and the results are compared against the previous technique. The comparative analysis show that the proposed technique outperforms rather than the previous technique in terms of standard performance measures such as completeness, correctness and quality.

References

• Liu, Li and Chapman, "Automated Road Extraction from Satellite Imagery Using Hybrid Genetic Algorithms and Cluster Analysis", Journal of Environmental Informatics, Vol. 1, No. 2, pp. 40-47, 2003
• Hesamodin dehghaniana, Mohamad Javad ValadanZouja, Hamid Ebadia and Mehdi Mokhtarzadeha, "Automated Road Extraction Using Both Genetic Algorithms and Clustering Analysis from Pan-Sharpened IKONOS Images", IEEE International Geoscience & Remote Sensing Symposium, Boston, Massachusetts, U.S.A, pp. 2008
• Shukla, Chandrakanth, Ramachandran, "Semi-Automatic Road Extraction Algorithm for High Resolution Images Using Path Following Approach", In Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, Ahmadabad, 2002, pp.231-236
• Uwe Bacher and Helmut Mayer, "Automatic Road Extraction from IRS Satellite Images in Agricultural and Desert Areas", The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 35, pp. 1055-1060, 2004
• Rajeswari, Gurumurthy, S.N. Omkar, J. Senthilnath and Pratap Reddy, "Automatic Extraction of Road Networks based on Normalized cuts and Mean Shift method for high resolution Satellite Imagery", International Journal of Advanced Engineering Sciences and Technologies, Vol. 3, No. 2, pp. 115 - 121, 2011
• Sowmya and Aashik Hameed, "Automatic Road Extraction from Satellite Image", In Proceedings of the National Conference on Communications, pp. 42-47, 2007
• Salem Saleh Al-amri, Kalyankar and Khamitkar, "A Comparative Study of Removal Noise from Remote Sensing Image", International Journal of Computer Science Issues, Vol.7, No.1, pp.32-36, January 2010
• Michael Schroder, Hubert Rehrauer, Klaus Seidel and Mihai Datcu, "Spatial Information Retrieval from Remote-Sensing Images—Part II: Gibbs–Markov Random Fields", IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, No. 5, pp. 1446-1455, September 1998
• Hae Yeoun Lee, Heung-Kyu Lee, Tak-gon Kim and Wonkyu Park, "Towards Knowledge-Based Extraction of Roads from 1m-Resolution Satellite Images", In Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
• Lili Yun and Keiichi Uchimura, "Using Self-Organizing Map for Road Network Extraction from Ikonos Imagery", International Journal of Innovative Computing, Information and Control, Vol. 3, No. 3, pp. 641-656, June 2007
• Mirnalinee Dhinesh, Sukhendu Das and Koshy Varghese, "Automatic Curvilinear Structure detection from Satellite Images using Multiresolution GMM", International Journal of Imaging Science And Engineering, Vol. 2,No.1, pp. 154-157, January 2008
• Katartzis, Sahli, Pizurica and Cornelis, "A Model-Based Approach to the Automatic Extraction of Linear Features from Airborne Images", IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 9, pp. 2073-2079, 2001
• Ke Qifa, Xiao Jing, Yang Zhiyong and Songde Ma, "Energy-based Method for Road Extraction from Satellite Images", IAPR Workshop on Machine Vision Applications, Tokyo, Japan, 1996
• Kalaivani and Thangaraj, "An Efficient Mechanism to Predict the Stage of River using Artificial Neural Network in Satellite Images", European Journal of Scientific Research, Vol.50, No.3, pp.380-394, 2011
• Jun Zhou, Bichof Walter and Gaelli Terry, "Road tracking in aerial images based on human-computer interaction and Bayesian filtering", ISPRS Journal of photogrammetry and Remote Sensing, Vol.61, No.2, pp.108-124, 2006
• Xiangyun Hu and Vincent Tao, "Automatic Extraction of Main Road Centerlines from High Resolution Satellite Imagery Using Hierarchical Grouping", Photogrammetric Engineering & Remote Sensing, Vol. 73, No. 9, pp. 1049-1056, 2007
• Yan Li and Ronald Briggs, "Automatic Extraction of Roads from High Resolution Aerial and Satellite Images with Heavy Noise", World Academy of Science, Engineering and Technology, Vol. 54, pp.416-422, 2009
• Bong, Lai and Joseph, "Automatic Road Network Recognition and Extraction for Urban Planning", World Academy of Science, Engineering and Technology, Vol. 53, pp.209-215, 2009
• Anil and NataRajan, "Automatic Road Extraction from High Resolution Imagery Based on Statistical Region Merging and Skeletonization", International Journal of Engineering Science and Technology Vol. 2, No.3, pp.165-171, 2010
• T Rajani Mangala and S G Bhirud, “An Effective ANN-Based Classification System for Rural Road Extraction in Satellite Imagery”, European Journal of Scientific Research, Vol. 47, No .4, pp.574-585, 2010
• Simon Clode, Peter Kootsookos, Rranz Rottensteiner, "The Automatic Extraction of Roads from LIDAR Data", ISPRS, Istanbul, Turkey, pp. 12 - 23, July 2004.