Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adaptive spatial subsampling visual attention model

References

• Achanta, R., S. Hemami, F. Estrada, and S. Susstrunk. 2009. “Frequency-Tuned Salient Region Detection.” Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, June 20–25, 2009.
   Google Scholar
• Belkasim , S. O. , Shridhar , M. and Ahmadi , M. 1991 . Pattern Recognition with Moment Invariants: A Comparative Study and New Results . Pattern Recognition , 24 ( 12 ) : 1117 – 1138 .
   Web of Science ®Google Scholar
• Congalton , R. 2010 . Remote Sensing: An Overview . GIScience & Remote Sensing , 47 ( 4 ) : 443 – 459 .
   Web of Science ®Google Scholar
• Engel , S. , Zhang , X. and Wandell , B. 1997 . Colour Tuning in Human Visual Cortex Measured with Functional Magnetic Resonance Imaging . Nature , 388 ( 6637 ) : 68 – 71 .
   PubMed Web of Science ®Google Scholar
• Fan , J. , Han , M. and Wang , J. 2009 . Single Point Iterative Weighted Fuzzy C-means Clustering Algorithm for Remote Sensing Image Segmentation . Pattern Recognition , 42 ( 11 ) : 2527 – 2540 .
   Web of Science ®Google Scholar
• Frintrop, S., M. Klodt, and E. Rome. 2007. “A Real-Time Visual Attention System Using Integral Images.” Paper presented at the 5th International Conference on Computer Vision Systems, Bielefeld, Germany, March 21–24, 2007.
   Google Scholar
• García-Balboa , J. L. , Reinoso-Gordo , J. F. and Ariza-López , F. J. 2012 . Automated Assessment of Road Generalization Results by Means of an Artificial Neural Network . GIScience & Remote Sensing , 49 ( 4 ) : 558 – 596 .
   Web of Science ®Google Scholar
• Gide , M. S. and Karam , L. J. 2012 . “ Comparative Evaluation of Visual Saliency Models for Quality Assessment Task. ” . In Paper presented at the International Workshop on Video Processing and Quality Metrics for Consumer Electronics , Arizona : Scottsdale .
   Google Scholar
• Greenspan, H., S. Belongie, R. Goodman, P. Perona, S. Rakshit, and C. H. Anderson. 1994. “Overcomplete Steerable Pyramid Filters and Rotation Invariance.” Paper presented at the IEEE Conference on Computer Vision and Pattern Recognition 1994, June 21–23, 1994.
   Google Scholar
• Guo , Q. , Kelly , M. , Gong , P. and Liu , D. 2007 . An Object-Based Classification Approach in Mapping Tree Mortality Using High Spatial Resolution Imagery . GIScience & Remote Sensing , 44 ( 1 ) : 24 – 47 .
   Web of Science ®Google Scholar
• Harel , J. , Koch , C. and Perona , P. 2007 . Graph-Based Visual Saliency . Advances in Neural Information Processing Systems , 19 : 545 – 552 .
   Google Scholar
• Heath , M. , Sarkar , S. , Sanocki , T. and Bowyer , K. 1998 . Comparison of Edge Detectors: A Methodology and Initial Study . Computer Vision and Image Understanding , 69 ( 1 ) : 38 – 54 .
   Web of Science ®Google Scholar
• Hou, X. and L. Zhang. 2007. “Saliency Detection: A Spectral Residual Approach.” Paper presented at the IEEE Conference on Computer Vision and Pattern Recognition, June 17–22, 2007.
   Google Scholar
• Inglada , J. 2007 . Automatic Recognition of Man-made Objects in High Resolution Optical Remote Sensing Images by SVM Classification of Geometric Image Features . ISPRS Journal of Photogrammetry and Remote Sensing , 62 ( 3 ) : 236 – 248 .
   Web of Science ®Google Scholar
• Itti, L. and C. Koch. 1999. A Comparison of Feature Combination Strategies for Saliency-Based Visual Attention Systems.
   Google Scholar
• Itti , L. and Koch , C. 2001 . Computational Modelling of Visual Attention , London, UK : Nature Publishing Group .
   Google Scholar
• Itti , L. , Koch , C. and Niebur , E. 1998 . A Model of Saliency-Based Visual Attention for Rapid Scene Analysis . IEEE Transactions on Pattern Analysis and Machine Intelligence , 20 ( 11 ) : 1254 – 1259 .
   Web of Science ®Google Scholar
• Jensen , J. R. and Lulla , K. 1987 . Introductory Digital Image Processing: A Remote Sensing Perspective . Geocarto International , 2 ( 1 ) : 65 – 65 .
   Google Scholar
• Kass , M. , Witkin , A. and Terzopoulos , D. 1988 . Snakes: Active Contour Models . International Journal of Computer Vision , 1 ( 4 ) : 321 – 331 .
   Web of Science ®Google Scholar
• Ki Tae, P., P. Min Su, L. Jeong Ho, and M. Young Shik. 2012. “Detection of Visual Saliency in Discrete Cosine Transform Domain.” Paper presented at the IEEE International Conference on Consumer Electronics, January 13–16, 2012.
   Google Scholar
• Koch , C. and Ullman , S. 1985 . Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry . Human Neurobiology , 4 ( 4 ) : 219 – 227 .
   PubMedGoogle Scholar
• Le Meur , O. , Le Callet , P. , Barba , D. and Thoreau , D. 2006 . A Coherent Computational Approach to Model Bottom-up Visual Attention . IEEE Transactions on Pattern Analysis and Machine Intelligence , 28 ( 5 ) : 802 – 817 .
   PubMed Web of Science ®Google Scholar
• Lee , J. , Haralick , R. and Shapiro , L. 1987 . Morphologic Edge Detection . IEEE Journal of Robotics and Automation , 3 ( 2 ) : 142 – 156 .
   Google Scholar
• Li , C. , Zeng , S. and Xu , L. 2007 . Intelligent Remote Sensing Image Processing , Beijing, China : Electronics Industry Press (in Chinese) .
   Google Scholar
• Mei , J. 2004 . “ Study on Object Detection for High Resolution Remote Sensing Images Based on Support Vector Machines. ” . In PhD thesis, Wuhan University , China (in Chinese) : Wuhan .
   Google Scholar
• Otsu , N. 1979 . A Threshold Selection Method from Gray-Level Histogram . IEEE Transactions on Systems, Man, and Cybernetics , 9 : 62 – 66 .
   Web of Science ®Google Scholar
• Pal, R., P. Mitra, and J. Mukhopadhyay. 2011. “Suitable Features for Visual Saliency Computation in Monochrome Images.” Paper presented at the 4th International Congress on Image and Signal Processing, October 15–17, 2011.
   Google Scholar
• Pei , L. and Tan , Y. 2008 . The Neural Network Classification of Remote Sensing Image Supplemented by Texture Characteristic . Geomantic & Spatial Information Technology , 31 ( 4 ) : 66 – 67 .
   Google Scholar
• Posner , M. I. 1984 . Components of Visual Orienting . Attention and Performance , X ( 32 ) : 531 – 556 .
   Google Scholar
• Rozenstein , O. and Karnieli , A. 2011 . Comparison of Methods for Land-Use Classification Incorporating Remote Sensing and GIS Inputs . Applied Geography , 31 ( 2 ) : 533 – 544 .
   Web of Science ®Google Scholar
• Sun , N. 2010 . “ Research on Target Recognition Methods for Building Detection in High Spatial Resolution Remote Sensing Images. ” . In Master's thesis, Zhejiang University , China (in Chinese) : Hangzhou .
   Google Scholar
• Tsotsos , J. K. , Culhane , S. M. , Kei Wai , W. Y. , Lai , Y. , Davis , N. and Nuflo , F. 1995 . Modeling Visual Attention via Selective Tuning . Artificial Intelligence , 78 ( 1–2 ) : 507 – 545 .
   Web of Science ®Google Scholar
• Wolfe , J. M. and Horowitz , T. S. 2004 . What Attributes Guide the Deployment of Visual Attention and How Do They Do It? . Nature Review Neuroscience , 5 ( 6 ) : 495 – 501 .
   PubMed Web of Science ®Google Scholar
• Yu, X., J. Yla-Jaaski, O. Huttunen, T. Vehkomaki, O. Sipila, and T. Katila. 1992. “Image Segmentation Combining Region Growing and Edge Detection.” In Proceedings of the 11th International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis.
   Google Scholar
• Zhang , D. , Zhang , C. , Cromley , R. , Travis , D. and Civco , D. 2012 . An Object-Based Method for Contrail Detection in AVHRR Satellite Images . GIScience & Remote Sensing , 49 ( 3 ) : 412 – 427 .
   Web of Science ®Google Scholar
• Zhang , G. 2010 . “ Researches on Object Detection in Remote Sensing Image with Complicated Scenes. ” . In PhD thesis, National University of Defense Technology , China (in Chinese) : Changsha .
   Google Scholar
• Zhang , P. and Wang , R. 2005 . An Approach to Remote Sensing Image Analysis Based on Visual Attention . Journal of Electronics & Information Technology , 27 ( 12 ) : 1855 – 1860 .
   Google Scholar
• Zhang , Z. 2005 . “ Feature Extraction and Recognition of Important Targets in Remote Sensing Imagery. ” . In PhD thesis , Changsha (in Chinese) : National University of Defense Technology .
   Google Scholar