Shadow detection in SAR images based on greyscale distribution, a saliency model, and geometrical matching

References

• Achanta, R., A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Süsstrunk. 2010. “Technical Report: ‘SLIC Superpixels’.” IVRL. Lab., Univ. EPFL, Lausanne, Switzerland. https://infoscience.epfl.ch/record/149300?ln=en
   Google Scholar
• Achanta, R., A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Süsstrunk. 2012. “SLIC Superpixels Compared to State-of-the-Art Superpixel Methods.” IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (11): 2274–2282. doi:10.1109/TPAMI.2012.120.
   PubMed Web of Science ®Google Scholar
• Achanta, R., S. Hemami, F. Estrada, and S. Susstrunk. 2009. “Frequency-tuned Salient Region Detection.” Paper presented at the 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1597–1604, Miami, FL. doi: 10.1109/CVPR.2009.5206596.
   Google Scholar
• Azevedo, S., E. Silva, M. Colnago, R. Negri, and W. Casaca. 2019. “Shadow Detection Using Object Area-based and Morphological Filtering for Very High-resolution Satellite Imagery of Urban Areas.” Journal of Applied Remote Sensing 13 (3): 0365606. doi:10.1117/1.JRS.13.036506.
   Web of Science ®Google Scholar
• Cheng, M., G. Zhang, N. J. Mitra, X. Huang, and S. Hu. 2011. “Global Contrast Based Salient Region Detection.” Paper presented at the 2011 IEEE Conference on Computer Vision and Pattern Recognition, 409–416, Colorado Springs, CO, USA. doi: 10.1109/CVPR.2011.5995344.
   Google Scholar
• Cheng, M., N. J. Mitra, X. Huang, P. H. S. Torr, and S. Hu. 2015. “Global Contrast Based Salient Region Detection.” IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (3): 569–582. doi:10.1109/TPAMI.2014.2345401.
   PubMed Web of Science ®Google Scholar
• Cui, J. J., J. Gudnason, and M. Brookes. 2005a. “Automatic Recognition of MSTAR Targets Using Radar Shadow and Superresolution Features.” Paper presented at the Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 582–592, Philadelphia, PA. doi: 10.1109/ICASSP.2005.1416372.
   Google Scholar
• Cui, J. J., J. Gudnason, and M. Brookes. 2005b. “Radar Shadow and Superresolution Features for Automatic Recognition of MSTAR Targets.” Paper presented at the IEEE International Radar Conference, 534–539, Arlington, USA. doi: 10.1109/ICASSP.2005.1416372.
   Google Scholar
• Gao, F., J. You, J. Wang, J. Sun, E. Yang, and H. Zhou. 2017. “A Novel Target Detection Method for SAR Images Based on Shadow Proposal and Saliency Analysis.” Neurocomputing 267: 220–231. doi:10.1016/j.neucom.2017.06.004.
   Web of Science ®Google Scholar
• Goldstein, G. B. 1973. “False-alarm Regulation in Log-normal and Weibull Clutter.” IEEE Transactions on Aerospace and Electronic Systems AES-9 (1): 84–92. doi:10.1109/TAES.1973.309705.
   Google Scholar
• Haddad, O., R. Abdelfattah, and H. Ajili. 2012. “Extracting Radar Shadow from SAR Images.” Paper presented at the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2101–2104, Munich. doi: 10.1109/IGARSS.2012.6350740.
   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, 1–8, Minneapolis, MN. doi: 10.1109/CVPR.2007.383267.
   Google Scholar
• Huang, S., W. Huang, and T. Zhang. 2016. “A New SAR Image Segmentation Algorithm for the Detection of Target and Shadow Regions.” Scientific Reports 6 (1). doi:10.1038/srep38596.
   Google Scholar
• Itti, L., C. Koch, and E. Niebur. 1998. “A Model of Saliency-based Visual Attention for Rapid Scene Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11): 1254–1259. doi:10.1109/34.730558.
   Web of Science ®Google Scholar
• Jahangir, M. 2007. “Target Detection for Synthetic Aperture Radar via Shadow Detection.” Paper presented at the 2007 IET International Conference on Radar Systems, 1–5, Edinburgh, UK. doi: 10.1049/cp:20070659.
   Google Scholar
• Jahangir, M., D. Blacknell, C. P. Moate, and R. D. Hill. 2007. “Extracting Information from Shadows in SAR Imagery.” Paper presented at the 2007 International Conference on Machine Vision, 107–112, Islamabad. doi: 10.1109/ICMV.2007.4469282.
   Google Scholar
• Keydel, E. R., S. W. Lee, and J. T. Moore. 1996. “MSTAR Extended Operating Conditions: A Tutorial.” Paper presented at SPIE Proceedings, 2757, 228–242. Orlando, FL, United States. doi: 10.1117/12.242059.
   Google Scholar
• Lai, D., B. Xiong, and G. Kuang. 2017. “Weak Target Detection in SAR Images via Improved Itti Visual Saliency Model.” Paper presented at the IEEE International Conference on Frontiers of Sensors Technologies, 260–264, Shenzhen. doi: 10.1109/ICFST.2017.8210515.
   Google Scholar
• Li, H., X. Yu, and X. Wang. 2018. “A Saliency-Based Method for SAR Target Detection.” Paper presented at the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2837–2840, Valencia, Spain. doi: 10.1109/IGARSS.2018.8517605.
   Google Scholar
• Li, H., X. Yu, Y. Tang, and X. Wang. 2019. “Object Detection with A Saliency Method Based on PCA and Global Contrast in Synthetic Aperture Radar.” Paper presented at the 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 1172–1175. doi: 10.1109/IGARSS.2019.8900464.
   Google Scholar
• Liu, Z., D. An, and X. Huang. 2019. “Moving Target Shadow Detection and Global Background Reconstruction for VideoSAR Based on Single-Frame Imagery.” IEEE Access 7: 42418–42425. doi:10.1109/ACCESS.2019.2907146.
   Web of Science ®Google Scholar
• Lombardo, P., M. Sciotti, and L. M. Kaplan. 2001. “SAR Prescreening Using Both Target and Shadow Information.” Paper presented at the 2001 IEEE Radar Conference, 147–152, Atlanta, USA. doi: 10.1109/NRC.2001.922968.
   Google Scholar
• “MiniSAR Real Dataset.” https://www.sandia.gov/radar/complex-data/
   Google Scholar
• “MSTAR Dataset.” https://www.sdms.afrl.af.mil/index.php?collection=public-data&page=public-data-list
   Google Scholar
• Novak, L. M., M. C. Burl, and W. W. Irving. 1993. “Optimal Polarimetric Processing for Enhanced Target Detection.” IEEE Transactions on Aerospace and Electronic Systems 29 (1): 234–244. doi:10.1109/7.249129.
   Web of Science ®Google Scholar
• Otsu, N. 1979. “A Threshold Selection Method from Gray-Level Histograms.” IEEE Transactions on Systems, Man, and Cybernetics 9 (1): 62–66. doi:10.1109/TSMC.1979.4310076.
   Web of Science ®Google Scholar
• Papson, S., and R. M. Narayanan. 2012. “Classification via the Shadow Region in SAR Imagery.” IEEE Transactions on Aerospace and Electronic Systems 48 (2): 969–980. doi:10.1109/TAES.2012.6178042.
   Web of Science ®Google Scholar
• Papson, S., and R. M. Narayanan. 2012. “Classification via The Shadow Region in Sar Imagery.” Ieee Transactions on Aerospace and Electronic Systems 48 (2): 969–980. doi: 10.1109/TAES.2012.6178042.
   Web of Science ®Google Scholar
• Prasath, V. B. S., and O. Haddad. 2014. “Radar Shadow Detection in Synthetic Aperture Radar Images Using Digital Elevation Model and Projections.” Journal of Applied Remote Sensing 8 (1): 083628. doi:10.1117/1.JRS.8.083628.
   Google Scholar
• Schwegmann, C. P., W. Kleynhans, B. P. Salmon, L. W. Mdakane, and R. G. V. Meyer. 2016. “Ships as Salient Objects in Synthetic Aperture Radar Imagery.” Paper presented at the 2016 IEEE International Geoscience and Remote Sensing Symposium, 6898–6901, Beijing, China. doi: 10.1109/IGARSS.2016.7730800.
   Google Scholar
• Steinbach, R. M., M. W. Koch, M. M. Moya, and J. Goold. 2014. “Technical Report: “Building Detection in SAR Imagery.” Sandia National Laboratories, USA. https://www.sandia.gov/radar/publications/index.html
   Google Scholar
• Tison, C., F. Tupin, and H. Maitre. 2014. “Retrieval of Building Shapes from Shadows in High Resolution SAR Interferometric Images.” Paper presented at the 2004 IEEE International Geoscience and Remote Sensing Symposium, 1788–1791, Anchorage, AK. doi: 10.1109/IGARSS.2004.1370681.
   Google Scholar
• Treisman, M., and G. Gelade. 1980. “A Feature-integration Theory of Attention.” Cognitive Psychology 12 (1): 97–136. doi:10.1016/0010-0285(80)90005-5.
   PubMed Web of Science ®Google Scholar
• Wang, Z., L. Du, and H. Su. 2017. “Target Detection via Bayesian-Morphological Saliency in High-Resolution SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 55 (10): 5455–5466. doi:10.1109/TGRS.2017.2707672.
   Web of Science ®Google Scholar
• Xiang, D., T. Tang, W. Ni, H. Zhang, and W. Lei. 2017. “Saliency Map Generation for SAR Images with Bayes Theory and Heterogeneous Clutter Model.” Remote Sensing 9 (12): 1290. doi:10.3390/rs9121290.
   Web of Science ®Google Scholar
• Xu, H., Z. Yang, G. Chen, G. Liao, and M. Tian. 2016. “A Ground Moving Target Detection Approach Based on Shadow Feature with Multichannel High-Resolution Synthetic Aperture Radar.” IEEE Geoscience and Remote Sensing Letters 13 (10): 1572–1576. doi:10.1109/LGRS.2016.2597159.
   Web of Science ®Google Scholar
• Xu, H., Z. Yang, R. Zhang, and G. Liao. 2015. “Shadow-aided Method for Ground Slow Moving Targets Detection of Airborne High-resolution SAR Images.” Paper presented at the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar 831-834, Singapore. doi: 10.1109/APSAR.2015.7306332.
   Google Scholar
• Xue, L., S. Yang, Y. Li, and J. Ma. 2019. “An Automatic Shadow Detection Method for High-resolution Remote Sensing Imagery Based on Polynomial Fitting.” International Journal of Remote Sensing 40 (8): 2986–3007. doi:10.1080/01431161.2018.1538586.
   Web of Science ®Google Scholar
• Yin, K., J. Lin, Z. Changchun, and J. Jin. 2013. “SAR Automatic Target Recognition Based on Shadow Contour.” Paper presented at the 2013 Fourth International Conference on Digital Manufacturing & Automation, 1179–1183, Qingdao, China. doi: 10.1109/ICDMA.2013.279.
   Google Scholar
• Zhang, B., D. Jiao, and X. Lv. 2019. “A Target Detection Algorithm for SAR Images Based on Regional Probability Statistics and Saliency Analysis.” International Journal of Remote Sensing 40 (4): 1394–1410. doi:10.1080/01431161.2018.1524593.
   Web of Science ®Google Scholar
• Zhang, Z., W. Hu, and X. Du. 2011. “A New SAR Chip Image Segmentation Method by Exploiting Spatial Relation between Target and Shadow.” Paper presented at the 2011 IEEE International Geoscience and Remote Sensing Symposium, 1658–1661, Vancouver, BC. doi: 10.1109/IGARSS.2011.6049551.
   Google Scholar