Ship detection in panchromatic images: A new method and its DSP implementation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9901, Issue , 2016, Pages

  Yao, Yuan ^a,b   Jiang, Zhiguo ^a,b   Zhang, Haopeng ^a,b   Wang, Mengfei ^a,b   Meng, Gang ^c  

^a BEIHANG UNIVERSITY   (China)

^b Beijing Key Laboratory of Digital Media   (China)

^c Beijing Institute of Remote Sensing Information   (China)

Author keywords

AdaBoost; DSP; Remote sensing; ship detection

Indexed keywords

ADAPTIVE BOOSTING; COMPUTER VISION; DIGITAL SIGNAL PROCESSORS; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; SHIPS; SIGNAL PROCESSING;

DSP IMPLEMENTATION; FALSE ALARM RATE; HIGH DETECTION RATE; LINE FEATURES; PANCHROMATIC IMAGES; REMOTE SENSING IMAGES; SHIP DETECTION; SPATIAL RESOLUTION;

REMOTE SENSING;

EID: 84983329170     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2234677     Document Type: Conference Paper

References (11)

1. Wang, Y., Ma, L., and Tian, Y., "State-of-the-art of ship detection and recognition in optical remotely sensed imagery," Acta Automatica Sinica 37(9), 56-57 (2011).
2. Xu, Y., Tan, Y., and He, R., "Overview of ship detection methods in remote sensing image," Journal of Astronautics 31(3), 628-640 (2010).
3. Wang, M., Luo, J., and Ming, D., "Extract ship targets from high spatial resolution remote sensed imagery with shape feature," Geomatics and Information Science of Wuhan University 30(8), 685-688 (2005).
4. Chu, Z., Wang, Q., Chen, H., and Xu, S., "Ship auto detection method based on mini-mum error threshold segmentation," Computer Engineering 33(11), 239-241 (2007).
5. Tang, Y., Liu, X., and Xu, S., "Multilevel adaptive cluttering segmentation method for marine ship in remote sensing image," Journal of Computer Applications 25(9), 2126-2127 (2005).
6. Jiang, L., Research on the Ship Target Detection in High Spatial Resolution Optical Remote Sensing Image, PhD thesis, National University of Defense Technology, China (2006).
7. Shi, P., The Ship Detection Based on Optical Remote Sensing Images, PhD thesis, University of Science and Technology of China, China (2010).
8. Freund, Y. and Schapire, R. E., "A desicion-theoretic generalization of on-line learning and an application to boosting," in [Computational Learning Theory], 23-37 (1995).
9. Papageorgiou, C. P., Oren, M., and Poggio, T., "A general framework for object detection," in [Sixth International Conference on Computer vision (ICCV 1998)], 555-562 (1998).
10. Von Gioi, R. G., Jakubowicz, J., Morel, J.-M., and Randall, G., "Lsd: A fast line segment detector with a false detection control," IEEE Transactions on Pattern Analysis and Machine Intelligence 32(4), 722-732 (2010).
11. Viola, P. and Jones, M. J., "Robust real-time face detection," International Journal of Computer Vision 57(2), 137-154 (2004).