Airport runway detection in satellite images by Adaboost Learning

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7477, Issue , 2009, Pages

  Zongur, Ugur ^a,b   Halici, Ugur ^a   Aytekin, Orsan ^a   Ulusoy, Ilkay ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b ASELSAN INC   (Turkey)

Author keywords

Adaboost algorithm; Airport runway detection; Automatic target detection; Satellite images; Textural features

Indexed keywords

ADABOOST ALGORITHM; ADABOOST LEARNING; AUTOMATIC DETECTION; AUTOMATIC TARGET DETECTION; DETECTION METHODS; FEATURE SUBSET; FOURIER POWER SPECTRUM; GABOR FILTER; HARALICK FEATURES; IMAGE INTENSITIES; LOCAL TEXTURAL FEATURES; LOW-LEVEL FEATURES; PATTERN RECOGNITION TECHNIQUES; REMOTE SENSING SATELLITES; SATELLITE IMAGES; SEGMENTATION PROCESS; STANDARD DEVIATION; TEXTURAL FEATURES; TEXTURAL PROPERTIES; ZERNIKE MOMENTS;

ADAPTIVE BOOSTING; AIRPORT RUNWAYS; IMAGE PROCESSING; PATTERN RECOGNITION SYSTEMS; POWER SPECTRUM; REMOTE SENSING; SATELLITES; SIGNAL PROCESSING; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; TARGET DRONES; TARGETS;

SIGNAL DETECTION;

EID: 70350451454     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.830295     Document Type: Conference Paper

References (26)

1. Liu, D., He, L., and Carin, L., "Airport detection in large aerial optical imagery, " Acoustics Speech and Signal Processing 2004 Proceedings (ICASSP '04) IEEE International Conference on 5, 761-764 (2004).
2. Qu, Y., Li, C., and Zheng, N., "Airport detection base on support vector machine from a single image, " Information Communications and Signal Processing 2005 Fifth International Conference on, 546-549 (2005).
3. Gupta, P. and Agrawal, A., "Airport detection in high-resolution panchromatic satellite images, " Journal of Institution of Engineers (India) 88(5), 3-9 (2007).
4. Han, J., Guo, L., and Bao, Y., "A method of automatic finding airport runways in aerial images, " Signal Processing Proceedings 2002 6th International Conference on 1,731-734 (2002).
5. Pi, Y., Fan, L., and Yang, X., "Airport detection and runway recognition in SAR images, " Geoscience and Remote Sensing Symposium IGARSS '03 Proceedings 2003 IEEE International 6, 4007-4009 (2003).
6. Wang, Q.-T. and Bin, Y., "A new recognizing and understanding method of military airfield image based on geometric structure, " Wavelet Analysis and Pattern Recognition 2007 ICWAPR '07 Proceedings International Conference on 3, 1241-1246 (2007).
7. Niu, X., "A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model, " International Journal of Photogrammetry and Remote Sensing 61,170-186 (2006).
8. Udomhunsakul, S., "Semi-automatic road detection from satellite imagery, " Image Processing 2004 ICIP '04 2004 Proceedings International Conference on, 3, 1723-1726 (2004).
9. Mena, J. B. and Malpica, J. A., "An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery, " Pattern Recognition Letters 26(9), 1201-1220 (2005).
10. Mokhtarzade, M., Zoej, M., and Ebadi, H., "Automatic road extraction from high resolution satellite images using neural networks, texture analysis, fuzzy clustering and genetic algorithms, " The international archives of the photogrammetry remote sensing and spatial information sciences 2008 Proceedings ISPRS Congress Beijing, B3b, 549 (2008).
11. Fernandez-Maloigne, C., Laugier, D., and Bekkhoucha, A., "Texture analysis for road detection, " Intelligent Vehicles '92 Symposium Proceedings of the, 219-224 (1992).
12. Popescu, D., Dobrescu, R., and Merezeanu, D., "Road analysis based on texture similarity evaluation, " SIP'08: Proceedings of the 7th WSEAS International Conference on Signal Processing, 47-51 (2008).
13. Mena, J. B., "State of the art on automatic road extraction for gis update: a novel classification, " Pattern Recognition Letters 24(16), 3037-3058 (2003).
14. Mayer, H., Hinz, S., Bacher, U., and Baltsavias, E., "A test of automatic road extraction approaches, " International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 209-214 (2006).
15. Freund, Y. and Schapire, R. E., "A short introduction to boosting, " Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1401-1406 (1999).
16. Khotanzad, A. and Hong, Y., "Invariant image recognition by zernike moments, " Pattern Analysis and Machine Intelligence IEEE Transactions on 12, 489-497 (1990).
17. Ravichandran, G. and Trivedi, M., "Circular-mellin features for texture segmentation, " Image Processing IEEE Transactions on 4, 1629-1640 (1995).
18. Haralick, R. M., Shanmugam, K., and Dinstein, I., "Textural features for image classification, " Systems Man and Cybernetics IEEE Transactions on 3, 610-621 (1973).
19. Augusteijn, M., Clemens, L., and Shaw, K., "Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier, " Geoscience and Remote Sensing IEEE Transactions on 33, 616-626 (1995).
20. Newsam, S. D. and Kamath, C., "Retrieval using texture features in high resolution multi-spectral satellite imagery, " SPIE Defense and Security Symposium Data Mining and Knowledge Discovery: Theory Tools and Technology VI, (2004).
21. Newsam, S. D. and Kamath, C., "Comparing shape and texture features for pattern recognition in simulation data, " Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 5672, 106-117 (2005).
22. Manjunath, B. and Ma, W., "Texture features for browsing and retrieval of image data, " Pattern Analysis and Machine Intelligence IEEE Transactions on 18, 837-842 (1996).
23. Rangayyan, R., Ferrari, R., Desautels, J., and Frere, A., "Directional analysis of images with gabor wavelets, " Computer Graphics and Image Processing 2000. Proceedings XIII Brazilian Symposium on, 170-177 (2000).
24. Weszka, J. S. and Rosenfeld, A., "A comparative study of texture measures for terrain classification, " NASA STI/Recon Technical Report N 76, (1975).
25. Bevk, M. and Kononenko, I., "A statistical approach to texture description of medical images: A preliminary study, " Computer-Based Medical Systems Proceedings IEEE Symposium on, 239 (2002).
26. Viola, P. and Jones, M., "Robust real-time object detection, " International Journal of Computer Vision, (2001).