Study on Ship Target Detection and Recognition in SAR imagery

Analysis the characteristics of SAR ship target detection and identification. Summarize and divide the commonly used features into three categories : spatial features, transform features and the moving feature. The general ship detection and identification process is discussed in details. The development of SAR ship target detection and identification are surveyed and the mainstream approaches are listed. The main problems on ship detection and recognition process have been described as well. Finally a possible development direction of SAR ship target detection and recognition is given. It is expected that the researchers will obtain useful information from this paper, which will help for their future works and promote the SAR image target detection and recognition of ship development.

[1]  Kazuo Ouchi,et al.  Detection of ships using cross-correlation of split-look SAR images , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[2]  Allan F. Corbeil,et al.  Land cover applications from IFSAR imagery , 1999, Defense, Security, and Sensing.

[3]  Yu Wen-xian An Algorithm for Detecting the Ship Wakes from SAR Ocean Image , 2004 .

[4]  Scott E. Decatur,et al.  Application of neural networks to terrain classification , 1989, International 1989 Joint Conference on Neural Networks.

[5]  Yuan Li-hai Xue Wen-tong Song Jian-she Recent Researches and Applications of SAR Image Processing , 2011 .

[6]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Zhijian Wu,et al.  On the estimation of a moving ship's velocity and hull geometry information from its wave spectra. , 1991 .

[8]  Pierfrancesco Lombardo,et al.  A real time operational scheme for ship traffic monitoring using quick look ERS SAR images , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[9]  Alexander A. Sawchuk,et al.  Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..

[10]  Naoki Suzuki,et al.  Benchmarking operational SAR ship detection , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[11]  Wang Shi Ship Wake Detection in SAR Images Based on Radon Transformation and Morphologic Image Processing , 2001 .

[12]  Rama Chellappa,et al.  Building 2D wide-area site models from single- and multipass single-polarization SAR data , 1996, Defense, Security, and Sensing.

[13]  Deng Xiang The History and Tendency of Synthetic Aperture Radars , 2000 .

[14]  M. Kabrisky,et al.  Synthetic aperture radar segmentation using wavelets and fractals , 1991, IEEE 1991 International Conference on Systems Engineering.

[15]  Nudt Changsha,et al.  Algorithm to Detect the Ship Wake from ERS-1 SAR Ocean Imagery , 2000 .

[16]  Knut Eldhuset,et al.  An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions , 1996, IEEE Trans. Geosci. Remote. Sens..