%0 Journal Article %1 noauthororeditor %A Yang, Peng Wei | Qian Li | Kaiwen %D 2020 %J International Journal of Trend in Scientific Research and Development %K computervision deeplearning remotesensingimages %N 1 %P 55-59 %T Research on Ship Detection in Visible Remote Sensing Images %U https://www.ijtsrd.com/engineering/computer-engineering/35823/research-on-ship-detection-in-visible-remote-sensing-images/peng-wei %V 5 %X With the continuous development of remote sensing technology and satellite communication technology, the higher is the resolution of remote sensing images, and the richer is information contained in the image. How to obtain information from remote sensing images quickly and accurately is the key problem in the application of remote sensing technology. This paper introduces the automatic detection of ship targets in visible light remote sensing images, analyzes the methods and problems of target detection and semantic segmentation based on deep learning, which improves the accuracy of ship detection. Finally, this paper summarizes the short comings of the existing methods and prospects of the future research trend. Peng Wei | Qian Li | Kaiwen Yang "Research on Ship Detection in Visible Remote Sensing Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35823.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/35823/research-on-ship-detection-in-visible-remote-sensing-images/peng-wei

@article{noauthororeditor, abstract = {With the continuous development of remote sensing technology and satellite communication technology, the higher is the resolution of remote sensing images, and the richer is information contained in the image. How to obtain information from remote sensing images quickly and accurately is the key problem in the application of remote sensing technology. This paper introduces the automatic detection of ship targets in visible light remote sensing images, analyzes the methods and problems of target detection and semantic segmentation based on deep learning, which improves the accuracy of ship detection. Finally, this paper summarizes the short comings of the existing methods and prospects of the future research trend. Peng Wei | Qian Li | Kaiwen Yang "Research on Ship Detection in Visible Remote Sensing Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35823.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/35823/research-on-ship-detection-in-visible-remote-sensing-images/peng-wei }, added-at = {2021-01-28T10:19:45.000+0100}, author = {Yang, Peng Wei | Qian Li | Kaiwen}, biburl = {https://www.bibsonomy.org/bibtex/2144c90b2c343171428b6f0e2d0345e53/ijtsrd}, interhash = {73098a6150b5398487b1096594bc9434}, intrahash = {144c90b2c343171428b6f0e2d0345e53}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {computervision deeplearning remotesensingimages}, language = {English}, month = nov, number = 1, pages = {55-59}, timestamp = {2021-01-28T10:19:45.000+0100}, title = {Research on Ship Detection in Visible Remote Sensing Images }, url = {https://www.ijtsrd.com/engineering/computer-engineering/35823/research-on-ship-detection-in-visible-remote-sensing-images/peng-wei}, volume = 5, year = 2020 }