S.No.

Volume 7, Issue 2, Feb 2018

1.

An Automatic Target Recognition and Finding Image Preprocessing Approaches for SAR Images: A Survey

Authors: Sanjay Kumar Gupta, Dr. L. K. Vishwamitra

Abstract- Target detection is that the front-end stage in any automatic target recognition system for artificial aperture measuring device (SAR) representational process (SAR-ATR). The effectuality of the detector directly Impacts the succeeding stages among the SAR-ATR method chain. There are numerous methods according to the literature for implementing the detector. We offer associate umbrella beneath that the numerous analysis activities among the shearer loosely probed and taxonomies. First, taxonomy for the numerous detection methods is projected. Finally, a novel discussion is given, whereby the issues lined embrace quality of SAR information models, understanding the increasing SAR information models. We tend to make a contribution toward sanctionative associate objective vogue and implementation for target detection.

Keywords- synthetic aperture radar; target detection; prescreened; automatic target recognition;Single-featurebased methods; constant false alarm rate; multi-features based methods; expert system-Oriented methods.

References-

[1] Debabrata Samanta, Goutam Sanyal, ―SAR image Classification using Fuzzy C-Means‖ International Journal of Advances in Engineering & Technology, Sept 2012, ISSN: 2231-1963.

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[4] MALLAT, S., S. ZHONG, Characterization of signals from multiscale edges, IEEE Trans. Pattern Anal. Machine Intelligence, 1992, 14(7), 710–732.

[5] Biswajeet Pradhan, Mahyat Shafapour Tehrany, and Mustafa Neamah Jebur, ―A New Semi-automated Detection Mapping of Flood Extent From TerraSAR-X Satellite Image Using Rule-Based Classification and Taguchi Optimization Techniques‖, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2016.

[6] Sinong Quan, Boli Xiong, Siqian Zhang, Meiting Yu, and Gangyao Kuang, ―Adaptive and Fast Prescreening for SAR ATR via Change Detection Technique‖, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2016.

[7] Suman Singha, Rudolf Ressel, Domenico Velotto, and Susanne Lehner, ―A Combination of Traditional and Polari metric Features for Oil Spill Detection Using TerraSAR-X‖, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 9, NO. 11, NOVEMBER 2016.

[8] ShigangWang, Min Wang, Shuyuan Yang, and Licheng Jiao, ―New Hierarchical Saliency Filtering for Fast Ship Detection in HighResolution SAR Images‖, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2016.

[9] Song Tu and Yi Su, ―Fast and Accurate Target Detection Based on Multiscale Saliency and Active Contour Model for High-Resolution SAR Images‖, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2016.

[10] David P. Williams, ―Fast Target Detection in Synthetic Aperture Sonar Imagery: A New Algorithm and Large-ScalePerformance Analysis‖, IEEE JOURNAL OF OCEANIC ENGINEERING, VOL. 40, NO. 1, JANUARY 2015.

[11] Jun Lu, Jonathan Li, IEEE, Gang Chen, Linjun Zhao, Boli Xiong, and Gaoyao Kuang, ―Improving Pixel-Based Change Detection Accuracy Using an Object-Based Approach in Multi temporal SAR Flood Images‖, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2015.

[12] Zongjie Cao, Yuchen Ge and Jilan Feng, ―Fast target detection method for high-resolution SAR images based on variance weighted information entropy‖, Springer 2015.

 

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