Novel aircraft type recognition with learning capabilities in satellite images

Jun Wei Hsieh, Jian Ming Chen, Chi Hung Chuang, Kao Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

The collection of satellite images is not constrained by time and can be captured day and night. It is unlike the images captured by aircrafts which are heavily constrained by weather conditions and environmental factors to secure useful images. Recently, satellite images have been widely applied in many fields, such as resource mining, pollution monitoring, etc. In this paper, we plan to apply it to the military to analyze different typess of aircrafts for security purpose. In our system, image processing techniques are first employed to perform the image preprocessing tasks, such as image quality enhancement, noise removal, rotation, scaling, and translation adjustment. Then, distinguishable features are extracted from aircrafts for recognition. Last, a multi-level recognition scheme is adopted for recognizing the types of aircrafts by incorporating suitable weight into each recognition level. Experimental results reveal the feasibility and validity of the proposed approach in recognizing aircrafts in satellite images.

原文???core.languages.en_GB???
主出版物標題2004 International Conference on Image Processing, ICIP 2004
頁面1715-1718
頁數4
DOIs
出版狀態已出版 - 2004
事件2004 International Conference on Image Processing, ICIP 2004 - , Singapore
持續時間: 18 10月 200421 10月 2004

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
3
ISSN(列印)1522-4880

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???event.eventtypes.event.conference???2004 International Conference on Image Processing, ICIP 2004
國家/地區Singapore
期間18/10/0421/10/04

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