A Remote Sensing Image Target Recognition Method Based on SIFT Algorithm
Jun Xie, Zhonglin Xu, Yingnan Liu, Xiuying Fan
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.33How to use a DOI?
- Remote sensing image; Target identification; SIFT; Image interpretation
- Aerial camera could obtain the ground target image information, and the target recognition could be carried through the image preprocessing and interpretation. In the process of image interpretation, under the precondition of massive images, if the interpretation member recognition was used only, the interpretation process will be complicated, time-consuming and the man-made errors will also be increased gradually. Based on this situation the SIFT method was used in the paper and the target in image received from aerial camera were got feature extraction, the feature points were obtained and it were contrast to the target feature points of standard target in the library which were set up in advance, so the accurate interpretation of aviation image target could achieved, so a kind of effective interpretation identification method for correct aviation image target recognition was proposed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jun Xie AU - Zhonglin Xu AU - Yingnan Liu AU - Xiuying Fan PY - 2015/04 DA - 2015/04 TI - A Remote Sensing Image Target Recognition Method Based on SIFT Algorithm BT - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation PB - Atlantis Press SP - 160 EP - 163 SN - 2352-538X UR - https://doi.org/10.2991/icmra-15.2015.33 DO - https://doi.org/10.2991/icmra-15.2015.33 ID - Xie2015/04 ER -