%0 Journal Article %1 noauthororeditor %A Selvi, M. Uma %A Kumar, S. Suresh %D 2011 %J International Journal of Advanced Information Technology (IJAIT) %K Hu’s and cameras invariants moment recognition shape ship smart texture %N 5 %P 23-29 %R 10.5121/ijait.2011.1503 %T A Novel Approach for Ship Recognition using Shape and Texture %U http://airccse.org/journal/IJAIT/papers/1011ijait03.pdf %V 1 %X Maritime security includes reliable identification of ship entering and leaving a nation’s territorial waters. Sea target detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. Automated systems that could identify a ship could complement existing electronic signal identification methods. A new classification approach using shape and texture is introduced for Ship detection. Texture information can improve classification performance. This approach uses both shape and texture features. Feature extraction is done by Hu’s moment invariants with several classification algorithms. This paper presents an overview of automatic ship recognition methods with a view towards embedded implementation on optical smart cameras. Therefore this approach may attain a good classification rate.

@article{noauthororeditor, abstract = {Maritime security includes reliable identification of ship entering and leaving a nation’s territorial waters. Sea target detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. Automated systems that could identify a ship could complement existing electronic signal identification methods. A new classification approach using shape and texture is introduced for Ship detection. Texture information can improve classification performance. This approach uses both shape and texture features. Feature extraction is done by Hu’s moment invariants with several classification algorithms. This paper presents an overview of automatic ship recognition methods with a view towards embedded implementation on optical smart cameras. Therefore this approach may attain a good classification rate. }, added-at = {2019-08-27T08:12:56.000+0200}, author = {Selvi, M. Uma and Kumar, S. Suresh}, biburl = {https://www.bibsonomy.org/bibtex/2f53c8f05579ca81118e4bea0f1a6732b/ijaitislive}, doi = {10.5121/ijait.2011.1503}, interhash = {065722b799a8bc0ec4cac82fb7a4c81d}, intrahash = {f53c8f05579ca81118e4bea0f1a6732b}, issn = {2231 - 1548 [Online] ; 2231 - 1920 [Print]}, journal = {International Journal of Advanced Information Technology (IJAIT)}, keywords = {Hu’s and cameras invariants moment recognition shape ship smart texture}, language = {English}, month = {October}, number = 5, pages = {23-29}, timestamp = {2019-08-27T08:12:56.000+0200}, title = {A Novel Approach for Ship Recognition using Shape and Texture }, url = {http://airccse.org/journal/IJAIT/papers/1011ijait03.pdf}, volume = 1, year = 2011 }